Low cost design for test architecture

ABSTRACT

The Translation Layer is embedded into each circuit under test (CUT) to modularize test process. The modularized tests are self-contained and performed in isolation. They are composed without consideration of environment constraints. The CUT and its environment constraints can be concurrently be tested in isolation and independently. Interconnections between the CUT and the environment can be tested in the environment constraint test without additional dedicated test logic. The modularized test process allows the test patterns of the environment constraints to be derived from those of the CUT. The resulting test patterns are used to compose the test patterns of a target system. Since the test process is recursive in nature, the modularized test of each constituent subsystem or design core can be performed in isolation in the target system, while the environment constraints and the interconnections are being tested concurrently.

CROSS-REFERENCE TO RELATED APPLICATION

This application claims the benefit of U.S. Provisional Application No. 62/274,168 filed Dec. 31, 2015 and U.S. application Ser. No. 15/397,567 filed Jan. 3, 2017.

FIELD OF THE INVENTION

The invention is directed towards large scale system integration, e.g. 3D integrated circuit (IC) integration, providing a system with increased functionality, superior performance, lower manufacturing cost and higher reliability. Persistent time-to-market pressure can influence a design paradigm that encourages a hierarchical or core-based design approach to mitigate design challenges and to tame design complexity. The scheme employs the 3D IC to indicate a large system for the purposed of discussion.

BACKGROUND

Modern integrated circuit systems are increasingly large and complex to satisfy insatiable demands of applications desired from every aspect of human life. Design of a large and complex system with increased time-to-market pressure, however, can pose new challenges in design paradigm and in taming of test cost and test development effort. Conventional design-for-test (DFT) methods and generation-based test development can offer a limited success in coping with new design paradigms and test challenges and in meeting aggressive time-to-market constraint.

Aim of a large scale system integration such as the 3D IC integration is to provide a system with increased functionality, superior performance, lower manufacturing cost and higher reliability. Persistent time-to-market pressure can influence a design paradigm that encourages a hierarchical or core-based design approach to mitigate design challenges and to tame design complexity. The scheme employs the 3D IC to indicate a large system for the purposed of discussion.

Modern 3D IC are a mixed-signal device that contains both analog and digital components. While the testing of analog circuits are typically managed by application specific functional tests or built-in self-test (BIST), the digital counterpart are commonly tested by structural test methods. Generation of the structural test patterns is often automated but their development time and effort can depend on size and complexity of circuit under test (CUT). Management of test cost and test development in an aggressive time-to-market business environment are a challenging task.

Test cost and test development effort are important factors for successful commercialization of 3D IC devices due to increased test complexity with respect to size and heterogeneity of constituting components. Test cost are measured by test time and test data volume. Test time of structural tests are dominated by time to deliver test data to circuit under test (CUT). Reduction of test cost are achieved by enabling test solutions that maximize utilization of delivered test data so that total size of test data delivered are minimized for the testing of the CUT.

Test development cost, in terms of development time and effort, are as important as test cost from the competitive time-to-market point of view. Test development cost are adversely affected by the size and complexity of the CUT. The test complexity can require increased engineering effort for efficient utilization of the available tests. Capability of commercial EDA tools and their runtime, for example, are limited by size of the CUT. Current EDA tools may not be able to process entire 3D IC designs for automatic test pattern generation (ATPG) and automatic design-for-testability (DFT) hardware insertion. Conventional test isolation methods can aid to partition system into a set of subsystems for the ATPG and test one partition at a time. They, however, unnecessarily isolate cores under test from their system environment that they interact with and can offer limited flexibility in achieving high test data utilization and at-speed test coverage of interface logic among interacting cores.

The desirable DFT methods for the 3D IC system can independently integrate implemented DFT of cores without isolation from their system environment and compose test patterns of corresponding cores to form test patterns of any level of design hierarchy without referring to their design netlists. Composition of test patterns are far more advantages than generation of test patterns in terms of test development cost because composition of test patterns are many orders of magnitude cheaper than generation in terms of computational effort.

Due to testability constraint measured by controllability and observability, structural tests are primarily applied to the testing of digital circuits. The most commonly employed DFT method in structural tests are based on scan design. In the scan design, internal registers are configured into shift registers for test data delivery. The shift register is called a scan chain. There are multiple scan chains. The scan chains can allow initialization of the internal registers for a given test prior to the test (controllability) and observation of the test response captured in the internal registers after the test for test decision (observability). Example of the scan-based design is shown in FIG. 1A. The scan enable (SE) can configure the internal registers into the scan chains. The SE can toggle between the scan shift mode for a test data delivery and the functional for a test response capture.

Most commonly applied structural tests are static and dynamic tests. Static tests can target detection of permanent defects that change circuit topology of the CUT. Similarly, dynamic tests can aim to detect delay defects that prevent devices from reaching their performance specifications. Examples of static and dynamic tests are stuck-at test and at-speed transition test, respectively. The stuck-at test can target permanent defects by assuming their behavior as input or a output of logic gate in the CUT being stuck at logic one or zero. The transition test can target excessive delays caused by defects by modeling their behavior as slow transition in input or output port of a logic gate.

The scan-based design can increase test development efficiency by reducing a sequential depth during the ATPG. The sequential depth are defined as a number of state transitions to reach a required state from a given initial state. The smaller the sequential depth, the more efficient ATPG from computational aspect. In case of the stuck-at test, for example, the scan-based DFT method can transform a sequential test problem into a combinational. The sequential depth of the combinational test are zero.

Operation of the scan-based DFT method are defined in a scan protocol. The scan protocol are summarized as follows:

1. Load/unload scan chains

2. Force input

3. Measure output

4. Capture test response

In the first step, the internal registers of the CUT are configured into shift registers, if the SE=1. While the internal registers are initialized by loading the test data into the shift register inputs, the shift register outputs are measured for test decision. After completion of the scan load/unload, the internal registers are configured back to the functional for testing, if the SE=0. The primary input of the CUT are forced with the input stimulus to excite faults that model defects on the IO logic in the second step. In the third step, the primary output are measured to observe faults on the IO logic. Finally, the test response of the CUT are capture into the internal registers. The captured outputs are observed while the scan chains are loaded. The steps in the scan protocol are repeated for each test pattern.

The test pattern are generated by the ATPG according to the scan protocol, as shown below. The scan input (SI) and the scan output (SO) denote the expected content of the internal registers before and after the capture, respectively. The SI are shifted into the CUT and the output of the CUT are compared against the SO for test decision during the scan load/unload. The primary input (PI) and the primary output (PO) denote the input stimulus applied to the primary input of the CUT and the expected output measured at the primary output, respectively. The input of CUT are forced with the PI and the output are compared with the PO for detection of faults.

Test Pat. No. Internal Reg (pre- & post-test) Primary Input & Output TP # SI SO PI PO

The DFT schemes and the ATPG methods are coupled. The DFT architectural decision can affect capability and efficiency of the ATPG. Similarly, innovation in the ATPG technology can also influence the underlying DFT architectures.

The 3D IC system can comprise a set of interacting cores. The interacting cores can communicate via channels. Channel can have a source and a sink. Source can provide data to a channel and sink can consume the data from the channel. Communication are achieved when the data provided by source is consumed by sink.

In digital circuits, a channel are formed by a wire connecting output of one core (source) to input of other core (sink). The channel are denoted with the name of the connecting wire. The same name of the output and the input can imply formation of a channel.

When communication is to be established, channel can create a communication constraint that requires input of sink to be the same as output of source. The communication constraint are captured in a topology, e.g. an input-output dependency graph (IODG). Example of the IODG that represents the system comprising four interacting cores is shown in FIG. 1B. The IODG can consist of a set of vertices and edges. The vertices and the edges denote cores and channels, respectively. Source and sink are denoted with a tail and a head of an arrow in the IODG, respectively. The cores 0 through 3 are interconnected to form a target system. The cores 0 and 3 can communicate to the system environment via the primary inputs and outputs. The primary IO are a unidirectional or a bidirectional. All other cores are internal and do not directly communicate to the system environment. The system environment is explicitly shown in the IODG. The system environment can provide input to and receive output from the corresponding system. Thus, output and input of the system environment are input and output of the system, respectively. The names of the PI and the PIO are interpreted as the channels. Source and sink of the bidirectional channel are determined by the output enable control.

Communication constraints are imposed between the output of the source and the input of the sink. Satisfaction of the communication constrains can require information of both source and sink. Test development cost can depend on how information is presented in resolution of the communication constraints. In conventional ATPG approaches, design netlists of both source and sink are used to resolve their communication constraints. Communication constraints on pseudo-primary input and output can also be considered. The pseudo-primary input and output are respectively output and input of internal storage cells or flip-flops (FFs) that comprise the scan chains. They, however, are local or internal to each core, regardless of being source and sink, and can always be satisfied by the ATPG of each core.

For a core to be tested, the PI and the PO of the core are must be provided and measured, respectively. An environment that provides the PI to the core and measure the PO is defined as a test environment of the core. The test environment of an individual core are generally provided by a set of cores and the system environment. Communication constraints are considered as IO constraints to be satisfied between the core under test and the test environment with which the core interacts. Since the test environment are unknown for the ATPG of an individual core performed independently, the communication constraints can also be unknown. Unavailability of communication constraints can prevent reuse of the core test patterns and can cause underutilization of test resources and inefficiency in both the ATPG and the system test.

Even if the test patterns are delivered to all cores, for example, only subset of the cores are actually tested by the delivered test data. Inefficient use of test resources are implied in the underutilized test data.

Without satisfying communication constraints, construction of the system-level test patterns from the independently generated core test patterns are difficult, if not impossible. In other word, the ATPG is forced to be a generation-based and not a construction or composition-based.

Resolution of communication constraints can allow reuse of core test patterns, improve utilization and hence reduce both test cost and test development cost. It can also promote a modular approach in test logic insertion and the ATPG. The test logic insertion and the ATPG are performed in each core independently without knowledge of its system environment. The test logic inserted cores are composed through the common test integration platform that can allow uniform integration of independently implemented test logics. The ATPG of any levels of design hierarchy are similarly performed to construct the test patterns from those of its lower level design constituents.

Scan Wrapper (IEEE STD 1500) can isolate each core under test from its system environment for the independent ATPG by inserting registers, called IO wrapper cells, in the channels connecting them. In the IEEE standard, the core under test are tested in isolation without involvement of its system environment. The system environment of the core under test, called a parent, is blocked by a set of IO wrapper cells during the core test. Instead, the test environment of the core under test is forced through the IO wrapper cells. The inserted wrapper cells modify the channel behavior during the test. Each wrapper cell that block the channel for isolation can provide a test point during the test. The test point are used to control input of the core or to observe the output. Underutilization of test resource, however, are implied in the IEEE STD 1500. Mutually exclusive usage of the wrapper cells between core and its environment can imply that the core and the parent are not meant to be tested in the same test run. That is, the communication constraints for sequential execution of the core and the parent tests cannot be satisfied from their independently generated test patterns. It is also difficult to apply the core wrapper standard to dynamic test of the interface logic between the core and its parent.

SUMMARY

The present invention can satisfy any communication constraints and hence, can enable a composition-based ATPG. The corresponding DFT architectures can achieve 100% or high test pattern utilization by continuously executing core tests one after another without being constrained by communication constraints in each stage of the system test. The test patterns of any higher-level of design hierarchy are constructed or calculated from lower-level test patterns without requiring design netlists of the lower levels. The ATPG can require the channel information or the interconnection information. The channel information are provided by the IODG with its edges labelled by the channel name and its size, or a channel_name[N−1:0].

The method provides a modular test platform for testing large systems. The test platform can comprise test distribution network and test sequencer. The test distribution network are responsible for test data delivery and the test sequencer can administer execution of core tests to achieve maximum test data utilization. Test patterns of each core are independently generated in parallel and used to calculate the targeted system level test patterns. Cores, hard external IPs, and any subsystems are plugged into the test distribution network to form a system level DFT architecture. Since the scheme are uniformly applied to a different form of subsystems including cores, IPs and levels of design hierarchy, the core is used to represent all applicable subsystems in discussion of the method. The DFT architecture can manage inclusion and exclusion of cores. Presence of all cores is not mandatory in the DFT scheme. Some cores are absent and are plugged in later when they are available.

A compositional approach to ATPG is attempted in the scheme. In the compositional approach, test patterns of any level of design hierarchy are obtained from composition of lower-level test patterns. Composition of the test patterns are based on calculation of test patterns without involvement of the design netlists, as discussed earlier.

The scheme focuses on what are computed from a given set of test patterns and provide the corresponding DFT architectures to maximize what are computed.

The composition can preserve test coverage of cores so that fault simulation after the composition may be unnecessary.

In the DFT scheme, the test distribution network is a token-based distributed system. The test data to be delivered are tagged with a token to indicate a validity of input test data. The valid test data are consumed only once. The cores plugged in the test distributed network can receive the valid test data addressed to them. The test protocol of the network ensures the correct test delivery to each core. The state of token is used to derive local states for end of test delivery and beginning of the test execution. The derived local states can also be employed to reduce power during the test delivery and to provide local test control signals require by the scan test protocol discussed earlier.

The DFT architectures provide flexible test data delivery schemes and high test pattern utilization at low power.

The scan enable (SE) and the scan shift clock are derived locally for each core. No global SE and scan clocks can necessary.

BRIEF DESCRIPTION OF THE DRAWINGS

FIGS. 1A and 1B illustrate prior art examples of scan-based design. FIG. 1A is an example of the scan-based design. FIG. 1B is an example of the IODG that represents the system comprising four interacting cores.

FIG. 2A is a prior art example of 3D IC systems having design components or cores. FIG. 2B is a prior art example of the Communication Constraint between the design components.

FIG. 3A is an illustrative embodiment of a 3D IC system including a translation layer. FIG. 3B illustrates another embodiment of a 3D IC system including a translation layer. FIG. 3C illustrates an architecture for the CUT. FIG. 3D illustrates an embodiment of the ECTI. FIG. 3E illustrates a proposed interconnection test.

FIG. 4 illustrates an example of unstable input that may be caused by hazard or race in combinational feedback.

FIG. 5 is an embodiment illustrating the Topological View that includes a translation layer.

FIG. 6A is an example of translation layer integration. FIG. 6B is the corresponding Labelled IODG or topology.

FIG. 7 is an Overview of Compositional ATPG.

FIG. 8 is an example of translation of logic values and transition in inter-core testing.

FIG. 9 is an Overview of DFT architecture for shadow logic test.

FIG. 10 is an embodiment showing Memory as test environment.

FIG. 11 is an embodiment ATPG model of memory for shadow logic test.

FIG. 12 is a timing diagram of the two test protocols.

FIG. 13 is an embodiment of address translation layer control logic.

FIG. 14 is an embodiment of Test control logic of the write (read).

FIG. 15 is an embodiment of Address translation layer control logic for LBIST.

FIG. 16 is an embodiment of Write-Read test control logic for LBIST.

FIG. 17 illustrates a test procedure are encapsulated in Begin (B) and End (E).

FIG. 18 is an example of test process composition.

FIG. 19 is a refinement of test process composition.

FIG. 20A is an embodiment of a Test sequencer. FIG. 20B is an example of the corresponding test sequences for FIG. 20A.

FIG. 21 is an embodiment of a Test process wrapper.

FIG. 22 illustrates an Inter-clock domain test (ICDT) interface

FIG. 23A illustrates the Test Distribution Elements interconnected in a linear fashion in a dedicated SIO. FIG. 23B illustrates the Test Distribution Elements interconnected in a linear fashion in a half-duplex SIO.

FIG. 24 is an embodiment of a Test distribution element.

FIG. 25 is an embodiment of test hardware for TDN test.

FIG. 26 is an embodiment of Encoding of Update and EOTD in dedicated scan IO.

FIG. 27 is an embodiment of Encoding of Update and EOTD in half-duplex scan IO.

FIG. 28 is a Structure of test distribution element (TDE).

FIG. 29A is an embodiment of the SE, the EOTD and the TSE generator. FIG. 29B illustrates local scan clocks for TL and core. FIG. 29C illustrates the derived local scan clock for core.

FIG. 30 illustrates a test distribution element incorporating Multiple Input Signature Register.

DETAILED DESCRIPTION

Compositional ATPG

Generation of system test patterns from its design netlist is costly with respect to time and computational effort. Instead of adapting generation approach based on design netlists as in the prior art, a compositional approach is based on test patterns of constituent subsystems or design cores. The test patterns represent design under consideration for context of targeted tests. The test patterns of each constituents are generated independently without assumption of others. To compose test patterns of constituents, any IO conflict between constituents must be resolved in their test patterns. Resolution of IO conflicts are specified in communication constraints. The communication constraints are obtained from order of test execution of constituents, called test schedule, and their IO connections that are represented by a IO directed graph (IODG). In an embodiment, a translation layer is introduced to satisfy the communication constraints. The translation layer can translate output of source constituent to match expected input of sink constituent so that the communication constraints between them can always be satisfied. Composition of test patterns are amounted to calculation of translations, called translation vectors, for a given a set of test patterns of constituents and their test schedule.

A Translation Layer (TL) is positioned between the constituents to resolve communication constraints. The TL is incorporated into the channels that connect the constituents. The TL satisfies communication constraints involving static logic values and signal transitions and, hence, are applied to composition of both static and dynamic test patterns. Resolution of communication constraints can allow construction of the system test patterns from composition of test patterns of its constituents without consulting to their design netlists. Compositional approach can imply unified integration of hard and soft IP subsystems or design cores for test because they are represented by their test patterns in the scheme.

The aforementioned architectures provides a test schedule and sequence that resolves communication constraints and thereby allows uninterrupted continuous execution of tests for increased test pattern utilization. The test of any set of constituents are continuously executed in the system test until all test data delivered to them are exercised for the test. Continuous executable system test patterns are constructed by composition according to a test schedule. The test schedule has concurrent processes of which their behavior are specified by a set of allowed test execution sequences of constituents, subsystems or cores. Synchronization among constituents in execution of the test schedule are denoted by their communication constraints. If, for example, the constituents A and B are not connected in the system, they can execute tests in parallel because no communication constraints may exist between them. Otherwise, the constituent A may execute the test before the B does or vice versa. Any order of execution is allowed in the scheme. The order can depend on whether the test patterns before or after test execution are to be translated.

In a large system design environment, the ATPG of constituents or partitions of the system are run in parallel on multiple processors to reduce test development time. The generated test patterns of each constituent are a unit of test patterns used to compose the system test patterns. The test patterns of each constituent are communicated to other partitions to meet communication constraints for composition of system test patterns. Since the ATPG of each constituent is carried out in isolation and only test patterns are communicated after generation for composition of test patterns, the scheme can offer superior means using available parallelism to expedite test development than the conventional approaches that could not resolve communication constraints of constituents.

Purpose of at-speed inter-core test is to detect delay defects in the IO interface logic of core. Detection of an excessive delay can involve propagation of transitions. The required transition are launched from the source and captured at the sink. The delay defect are detected by checking whether sink core can capture the transition within the specified timing window. Thus, the launched transition are translated to satisfy the communication constraints at the sink for capture. If the test patterns of source can provide a single transition at each input of sink, the test patterns of source are used as a transition generator to test all delays in the interface logic between them. Since the inter-core test can involve more than one core, the test patterns of all participating cores must have the same length or the same number of test patterns. Their length are equalized by duplication of shorter test patterns or incremental ATPG based on received test patterns of neighboring constituents to preserve original test coverage of the constituents.

Aim of the compositional ATPG approach is to construct test patterns of a higher-level of design hierarchy from the test patterns of constituents or cores without referring to their design netlists. The efficiency of test patterns are measured by a test pattern utilization, denoted as U. The utilization are defined as U=N _(avg) ÷N _(total)  Eq. 1 where the N_(avg) and N_(total) denote average number of cores tested in the test patterns of system and total number of core in the CUT, respectively. Goal of the compositional ATPG are construction of the test patterns that can achieve 100% utilization.

A glue logic of the higher-level of design hierarchy can also be considered as a core.

The 3D IC systems can comprise design components or cores as shown in FIG. 5. In the scheme, the core is a unit of circuit under test from which the test patterns are generated for composition. The x-th core are denoted by Core x. in the diagram and the Cx in the IODG. The core index x is an address of the x-th core. The Core 0, for example, is a top-level glue logic which can integrate other cores to form a system. The core are combinational logic. A set of all cores in system under test, denoted as SYS, are expressed as cores(SYS)={Core x|0≤x≤core_count(SYS)}  Eq. 2 where the function cores(SYS) returns a set of all cores in SYS and core_count(SYS) number of cores SYS.

The cores are connected through interconnections. The interconnection from output of one core to input of another core can form a channel. The core which can provide the input to the channel is called source and which can receive the input from the channel sink. Output of the x-th source core is denoted by x.out and input of the y-th sink core by y.in. The channel formed between the x.out and the y.in are denoted by a channel relation c_(x,y) that relates x.out and y.in. Channels formed in system under test are specified by a labelled IODG. The labelled IODG, or simply the IODG, are denoted as (V, E×L), where the V, E and L denote a set of vertices, edges and labels, respectively. The edge and the label in the E and L can represent the channel labelled with its name and data width or size. For a n-bit channel c∈E from the source to the sink, the channel are labelled with the c_(x,y)[n−1:0]∈L or simply c_(x,y)∈L. The IODG can capture the communication constraints of the interacting cores.

The channel of size n from the Core x to Core y are defined as c _(x,y)[n−1:0]={c _(x,y)[i]|0≤i≤n−1}, where c _(x,y)[i]=(x.out[i],y.in[i])  Eq. 3 The input and the output functions of the channel c_(x,y), denoted as input(c_(x,y)) and output(c_(x,y)) are defined as input(c _(x,y))={x.out[i]|(x.out[i],y.in[i])∈c _(x,y)[i],0≤i≤n−1}  Eq. 4 output(c _(x,y))={y.in[i]|(x.out[i],y.in[i])∈c _(x,y)[i],0≤i≤n−1}  Eq. 5 The x.out and the y.in are output and input of Core x and y, respectively.

A set of channels of which arbitrary Core y∈V can interact, denoted as channels(Core y), can comprise a set of input channels and output channels, denoted as in_channels(Core y) and out_channels(Core y), respectively. The channels(Core y) are defined as channels(Core y)=in_channels(Core y)∪out_channels(Core y)  Eq. 6 in_channels(Core y)={c _(x,y) |c _(x,y) ∈E×L,Core x∈V}  Eq. 7 out_channels(Core y)={c _(y,z) |c _(y,z) ∈E×L,Core z∈V}  Eq. 8 Example of the channels of the core is summarized in the Table 1 below for Core 0 and 2 from the labelled IODG shown in FIG. 2B.

TABLE 1 Channels Core₀ Core₂ channels (Core y) { c_(0,1), c_(0,2), c_(1,0),PO₀ } { c_(2,0), c_(2,1), c_(2,3), c_(2,0), PI₀, c_(0,2), c_(1,2), c_(3,2) } in_channels (Core y) { c_(1,0), c_(2,0), PI₀ } { c_(0,2), c_(1,2), c_(3,2) } out_channels (Core y) { c_(0,1), c_(0,2), PO₀ } { c_(2,0), c_(2,1), c_(2,3) } A projection of channels(Core y) onto channels(Core x), or channels(Core y)↑channels(Core x), are defined as channels(Core y)↑channels(Core x)=channels(Core_(y))∩channels(Core x)  Eq. 9 The projection are applied to find the established channels between the cores. To identify each communication constraint from source to sink, the sink input channels are projected onto source output channels, or in_channels(sink)↑out_channels(source). Example of Projection channels(Core 2)↑channels(Core 0)={c _(2,0) ,c _(0,2)} channels(Core 2)↑out_channels(Core 0)={c _(0,2)} in_channels(Core 2)↑out_channels(Core 0)={c _(0,2)}

A communication are an event that is described by a pair c.v where c is the name of the channel on which the communication takes place and v is the value of the message which passes. If the channel c is a single bit, for example, communication are either c.0 or c.1. The communication can also be extend to include don't-care value denoted as c.X. Functions are defined to extract channel an message components of a communication channel(c.v)=c, message(c.v)=v Communication c.v can occur whenever the source outputs a value v on the channel c and the sink inputs the same value.

Each pair of connected nodes in the labelled IODG can indicate channel between them. Events of which source outputs a value v on the channel c and sink inputs the value v′ on the same channel are denoted by c!v and c?v′, respectively. The source can output the value v on the channel c after the test data delivery or the test execution. The sink can input the value v′ when its test is started. Communication can occur when the sink inputs the value v′ from the same channel during the test. When communication occurs, it can imply that channel(c.v)=channel(c.v′) and message(c.v)=message(c.v′). Thus, as shown in FIG. 2B, the communication constraint C are specified as C:c.v⇒(message(c.v)=message(c.v)) or c.v⇒(v=v′)  Eq. 10

Since the communication constraint is defined by synchronization of message over the channel, it are known or visible to the core under test, or simply the core, if all of its sources and sinks are available. A set of all sources and sinks for each core under test can form a test environment. Without information on the test environment, the core cannot foresee its communication constraints. Consequently, test patterns of the core that are generated independently without knowledge of its environment are generally difficult to satisfy the communication constraints. Unsatisfied communication constraints are one of main sources of inefficiency in conventional DFT and ATPG approaches. Conventional approaches can often attempt to disable the communication constraints by isolating the core for test or to satisfy them by including design netlist of its test environment. Conventional test isolation methods can prevent cores from being tested continuously and often lead to underutilization of test data and loss of at-speed test coverage, as discussed earlier. Incorporation of design netlist of the test environment to satisfy communication constraints can increase test development time and cost and hence affect time-to market. Adoption of sequential approach for test pattern generation to cope with underutilization can also lead to unmanageable test development effort.

To satisfy any communication constraint, output of source are transformed or translated prior to input of sink. That is, for the source output c!v and the sink input c?v′, the v′=T(v), as shown in FIGS. 3A and 3B. The transformation T is called a translation layer (TL) and are determined as follows.

Property 1 v′=T(x), where T(x)=g(x)⊕x, and g(x)=v′⊕x and x=v

Proof v′={Since identity of ⊕ is 0, where ⊕ denotes exclusive-OR(XOR)} v′⊕0={0=v⊕v} v′⊕(v⊕v)={Associativity of ⊕} (v′⊕v)⊕v={let x=v} T(x)={let g(x)=v′⊕x} g(x)⊕x

(End of Property and Proof)

The g(x) is called a translation vector of arbitrary input x. The g(x) can satisfy any communication constraint of x in the T(x). The T(x) can map the output of source to the g(x) which maps the same output to the input of sink. The translation vector are calculated from the test patterns of interconnected cores and provided in the register as shown in FIG. 3A. The register is called a translation vector register (TVR) and are initialized in the test delivery. Periodic Behavior

The TL contains a feedback loop through the TVR and the XOR logic as shown in FIG. 3A. The TVR are a shift register of any size K, where K>0. The content of TVR are updated through the feedback loop. For synchronous designs, the update amounts to provide a clock pulse to the TVR with enable when incorporated. When the source output x are kept constant, the content of the TVR can periodically update alternately between the g(x) and the T(x) with a period of 2K. By denoting the TVR[n] as a n-th update of the TVR, for example, each update of a single-bit TVR are illustrated as follows:

0th update: TVR[0]=g(x)

1st update:

TVR[1] = g(x) ⊕ x = {definition  of  T(x)} T(x)

2nd update:

TVR[2] = (g(x) ⊕ x) ⊕ x = {associativity  and  identity  of  ⊕} g(x)

3rd update: TVR[3]=T(x)

4th update: TVR[4]=g(x) and so forth.

Therefore, update of a single-bit TVR are summarized as If TVR[2N]=g(x), the TVR[2N+1]=T(x), where N≥0. Otherwise, TVR[2N]=T(x), the TVR[2N+1]=g(x). Since the g(x)=(v′⊕x) and the T(x)=v′, in the context of the periodic behavior, the recovery of g(x) is recovery of x and that of T(x) as removal of x.

The multi-bit TVR are beneficial in translating the sequential inputs for complex tests such as delay tests. The transitions, for example, are provided from the multi-bit TVR. The update equation obtained for the single-bit TVR are generalized for any size K>0. For any k-th bit of the TVR, If TVR[2KN+k]=g(x), then TVR[(2K+1)N+k]=T(x), where N≥0 and 0≤k<K. Otherwise, TVR[2KN+k]]=T(x), the TVR[(2K+1)N+k]=g(x). If, for example, test applications require to provide a transition to the input v′, the 2-bit TVR are employed, or the K=2. If, however, no transition were required to be launched from the input v′, the K=1.

The TL can also be applied to the output the same way as the input to achieve the same periodic behavior at the output.

Since the source provides the input to the sink, the source can be interpreted as an input environment of the sink. The source output x can denote outputs of any number of design cores that provide input to the sink. The source output is called environment output. Similarly, the sink test is based on the source output, the sink can be considered as the circuit under test (CUT).

The environment output is considered an environment constraint to be satisfied in the testing of the CUT. The environment output constraint can have two aspects: data and synchronization constraints. The output data constraint can specify the environment output data to be satisfied in the testing of the CUT. The output synchronization constraint can specify requirements of the environment output to ensure safety and validity of the testing of the CUT. To illustrate, the output synchronization constraint for safety can be the constant environment output requirement assumed in the periodic behavior of the TL or the output synchronization constraint for validity can be synchronization of environment output data with the testing of the CUT prescribed in the test patterns. The output data constraint can be satisfied by the composition of test patterns and the output synchronization constraint by the test sequence which can define the order of test executions of the CUT and the environment. The test sequence can be implemented by the test sequencer (TSR).

The output data constraint can depend on the output synchronization constraint. If, for example, the environment test precedes or follows the CUT in the test sequence, the environment output data after or before the test are to be used in the composition of test patterns, respectively. The environment output is called an after-test environment output when the test execution of the environment precedes that of the CUT. Similarly, the environment output is called a before-test environment output when the test execution of the environment test follows that of the CUT. Since the environment output before or after synchronization can also be the output constraint, the output data constraint test can contain the testing of synchronization constraint. Based on inclusion of the test, the output constraint is called environment output constraint or environment constraint for short.

The TVR can denote any number of TVRs. The input and the output of the CUT, say a and b, of size L are denoted as a[L−1:0].i.CUT and b[L−1:0].o.CUT, respectively. Similarly, the input and the output of the environment of size L are denoted as a[L−1:0].i.ENT_(CUT) and b[L−1:0].o.ENV_(CUT), respectively. Thus, the input v′ of the CUT and the environment output x of size L are expressed as v′[L−1:0].i.CUT and x[L−1:0].o.ENV_(CUT) respectively. For the x[L−1:0].o.ENV_(CUT) the g(x) can denote a bitwise XOR operation of x and v′ as follows: g(x[L−1:0])=∀(l,0≤l<L,x[l]⊕v′[l])

Initializing the TVR with the input v′ offers numerous advantages over the g(x). The test patterns of the CUT are determined within the CUT without consideration of environment constraints. Required information for the test pattern generation is available in the CUT. The inputs are arbitrary and random. The g(x), however, are determinate and requires environment constraints which may be unavailable in the test pattern generation of the CUT. Modern advanced DFT techniques also favor under-specified or random inputs for test optimization. Therefore, the input invariance and choice of the initial content of the TVR can increase adaptability of the proposed scheme in the diversified DFT techniques such as test compression and built-in self-test of functional logic (LBIST).

The periodic behavior of the TL assumes a constant environment output x during the test execution of the CUT. The constant environment output constraint can be satisfied by a sequential test constraint between the CUT and the environment. The sequential test constraint can be specified in the test sequence and prevent concurrent test execution of the CUT and the environment. The environment test can only be permitted either to precede or to follow the CUT test.

A test can consist of test setup, test delivery and test execution. The periodic behavior of the TL assumes a constant environment output x during the test execution of the CUT. The constant environment output constraint can independently be satisfied by a sequential test constraint between the CUT and its environment. The sequential test constraint can disallow concurrent test execution of the CUT and its environment. The testing of the environment can only be performed either before or after the sink. Thus, the sequential test constraint can ensure the constant output of the environment of the CUT. The sequential test constraint are specified in the test sequence. In the proposed scheme, the test sequence are specified in the composition of test patterns and are independent of test pattern generation of the CUT.

Input Variance

The periodic behavior of the TL can allow the TVR to be initialized either with the g(x) or the input v′ in test pattern generation. If the TVR were loaded with the v′, for example, the translation vector function g(x) are recovered from the input v′ and the environment output x by the K number of the TVR updates before the test. The recovered g(x) can translate the environment output x to provide the required original input v′ during the test execution. Similarly, the environment output x are removed from the g(x) after the test by the same K number of updates. Removal of the environment output x can ensure recovery of input v′ after the test. Hence, the TVR are invariant over a period of updates and contain the original input v′ before and after test. Invariance of the TVR over a period of updates is called input invariance of the TVR.

Furthermore, the input invariance of the TVR and the translation layer T(x) can imply input invariance of the input of the CUT over the period. The input v′ are required only in the test execution and disregarded before and after. Hence, the input of the CUT are invariant over the period. This is called input invariance of the CUT and input invariance for short.

Independent test of the CUT without influence of the environment is called test isolation of the CUT. Similarly, independent test of environment constraints without influence of the CUT is called test isolation of the environment constraints. The test isolation of both the CUT and its environment constraints can simplify composition of test patterns. In the proposed scheme, the input invariance can imply test isolation of the CUT. Test isolation of the environment constraints can independently be achieved by employment of dedicated built-in test logic to measure the environment output.

The periodic behavior of the TL allows the TVR to be initialized either with the g(x) or the input v′ in test pattern generation. If the TVR were loaded with the v′, for example, the translation vector function g(x) are recovered from the input v′ and the environment output x by the K number of the TVR updates before the test. The recovered g(x) can translate the environment output x to provide the required original input v′ during the test execution. Similarly, the environment output x are removed from the g(x) after the test by the same K number of updates. Removal of the environment output x can ensure recovery of input v′ after the test. Hence, the TVR are invariant over a period of updates and contain the original input v′ before and after test. Invariance of the TVR over a period of updates is called input invariance of the TVR.

Furthermore, the input invariance of the TVR and the translation layer T(x) can imply input invariance of the input of the CUT over the period. The input v′ are required only in the test execution and disregarded before and after. Hence, the input of the CUT are invariant over the period. This is called input invariance of the CUT and input invariance for short.

Independent test of the CUT without influence of the environment is called test isolation of the CUT. Similarly, independent test of environment constraints without influence of the CUT is called test isolation of the environment constraints. The test isolation of both the CUT and its environment constraints can simplify composition of test patterns. In the present invention, the input invariance can imply test isolation of the CUT. Test isolation of the environment constraints can independently be achieved by employment of dedicated built-in test logic to measure the environment output.

Separation of Test Concerns

Test isolation of the CUT separates test concerns of the CUT from its environment. This promotes a modular approach toward development of t_(CUT)est pattern generation. Test patterns of the modular tests are self-contained and each modular test are composed independently. Incorporation of auxiliary tests such as environment constraint test can efficiently be accommodated in composition of modular test patterns. The test patterns of environment constraint test are derived from those of the CUT. In composition of the test patterns, the environment constraint test are encoded into the test patterns of the CUT without compromising integrity of the test patterns. The integrity of test patterns can indicate intent of the test patterns. If, for example, inversion of the test outputs in the test patterns may not alter intent of the test patterns. Instead of measuring the specified test output in the test patterns, its complement are measured.

Test patterns can specify the CUT. Test patterns can consist of input and output (TO) behavior of the CUT. The input of test patterns are stimulus to the CUT. The output are the response of the input stimulus from the CUT. The test patterns are considered as a stream of input and output values observed at the IO of the CUT. In some test applications, the test patterns can include content of flip-flops (FFs) which are accessible in the test delivery, e.g. test-accessible FFs are scan FFs in the structural test patterns. The test-accessible FFs can have dual functions in the test; primary input function to provide the input stimulus to the CUT and primary output function to capture test response for observation. Due to dual functionality, the test-accessible FFs are called pseudo-primary inputs and outputs or the pseudo-PIOs for short. The test patterns can exclude values of internal nodes or registers which may not directly be observed at the IO and the pseudo-PIOs. An example of unobservable registers are non-scan-able FFs in the structural tests. Those unobservable internal nodes may contribute implicitly to test response but they are abstracted and unspecified in the test patterns. Abstraction of unobservable internal nodes in the test patterns is called abstraction property of test patterns, or abstraction property.

The present invention uses the abstraction property to increase the domain to which the test pattern composition are applied. The built-in test logics satisfying the abstraction property are introduced in the testing of the environment constraint test for attainment of test isolation of the environment constrain test. By way of example, the test logic are a finite state machine (FSM) whose registers are unobservable in the test patterns. Since the input of the test logic depends only on the environment constraints, the test are isolated from the CUT. The independent tests of the CUT test and the environment constraints are performed concurrently and their test results are combined together via a test encoding scheme that can ensure integrity of the test patterns. In the present invention, the environment constraints are embedded into inversion of the test output of the CUT.

Separation of test concerns can enhance diagnostic resolution of the system test. Independence of tests of the CUT and its environment can aid to locate failures with a greater precision, i.e. failures in the CUT or the environment output. Furthermore, the failure location are transparent in the proposed test output encoding scheme. Since the failures in the CUT can affect subset of test patterns whereas those in the environment output can induce inversion failures to all test patterns, the failure location may not be masked by the proposed output encoding scheme.

Architecture

The test structure of the present invention is shown in FIG. 3C. The functional inputs and outputs are denoted as FI and FO, respectively. The translation layer (TL) are assigned to each input in the FI. The TL can also be assigned to the output in the FO. Similarly the test inputs and outputs are denoted as TI and TO. The test patterns are delivered to the CUT through the TI and the test response observed at the TO. The TVR is assumed to be initialized and observed in the test delivery. In the structural tests, the TI and TO are perceived as scan input (SI) and scan output (SO). In some test applications, the test patterns being delivered are compressed and may require an on-chip preprocessor to decompress prior to test applications. Similarly, the test response may need to be compressed for the test delivery and require a preprocessor to compress. The test patterns can also be generated by on-chip test pattern generators and the test response are analyzed by on-chip test pattern compactors for test decision. The test input processing unit (TIPU) and the test output processing unit (TOPU) denote such test pattern processing engines to achieve the test requirements. Matching pair of the TIPU and TOPU is denoted as a test processing unit (TPU).

The environment constraints are tested by a built-in test logic called environment constraint test instrument (ECTI). Example of the ECTI is shown in FIG. 3D. The ECTI can measure the environment output x, or x[L−1:0].o.ENV_(CUT). The measured output are merged by the XOR logic network and captured into the ECTI register of any size R≥1. The output of the ECTI register are expanded or compacted to produce the output of size M. In the example, the environment output of 4-bit, or L=4, is compacted by the XOR network producing 2-bit output, or R=2. The compacted XOR network output is captured into the 2-bit ECTI register and the second output is duplicated to provide the 3-bit output of the ECTI, or M=3. The ECTI output are enabled by the environment constraint test enable (ECTE). If the ECTE=0, the output of the ECTI is disabled and set to 0. When the ECTE=1, the environment test output are sampled into the ECTI register before or after the test execution. The content of the ECTI register are unchanged until the next environment output is sampled. The ECTI are a multiple input signature analyzer (MISR), if the environment output were required to be measured over number of test patterns. For the MISR, the R are greater than both L and M The output of the ECTI register may be compacted by the XOR network to produce the output of size M.

The proposed scheme can encode the output of the ECTI into inversion of the TO. This is called a test output encoding. The test output encoding can maintain integrity of test patterns because measurement of the test output or its inversion may not alter intent of the original test patterns. Inversion of the test output TO are determined in the test pattern composition based on the test patterns of the environment. The test logic output encoding function employed in the proposed scheme is a XOR logic function. The test output encoding are summarized as ∀(m,0≤m≤M,M≤N,TO[m].CUT=o[m].ECTI⊕TO′[m].CUT) where M and N are the size of the ECTI output and the TO, respectively and where TO[m].CUT and o[m].ECTI denote the m-th bit of the TO of the CUT and that of the ECTI output. The TO′[m] denotes the m-th bit of original test output before encoding. The ECTI output are control signals to the TO for inversion. That is, the o[m].ECTI=1 implies inversion of the test output, or the TO[m].CUT=˜TO′[m].CUT., where ˜ denote negation.

The proposed environment output test can also test interconnections between environment and the CUT. If the interconnection failures can be observed in the environment output test, the failure can be detected by the ECTI. Hence, the interconnection test can concurrently carried out during the testing of the CUT.

ATPG and Test Pattern Composition

In the proposed scheme, since the CUT are tested in isolation regardless of its environment constraints, the input of the TL are set to zero or the FI=0. The condition of the FI=0 is called zero-bias of the environment constraints or zero-bias for short. Since the x=0 at the zero-bias, the g(x)=T(x) and hence, the TVR=v′, regardless of the TVR updates. Thus, the content of the TVR and the input v′ can always be invariant at the zero-bias. The one-bias can also be defined for the FI=1. The zero-bias and one can depend on the logic operation employed in the TL. The one-bias, for example, are achieved by employment of the XNOR logic in the TL, instead of the XOR logic. The one-bias can satisfy the same equations; g(x)=T(x) and TVR=v′.

The test patterns generated with the zero-bias is denoted as the zero-biased test patterns. The zero-biased test patterns can specify test isolation of the CUT. In the test isolation, the testing of the CUT can independently be performed without the environment constraints. The zero-biased test patterns can also be used to derive test patterns others such as the environment constraint test by textual replacement of test patterns. If the ECTE, for example, are a function of inputs specified in the test patterns, those input values specified in the zero-bias test patterns are replaced to satisfy the ECTE. If the zero-biased test patterns were generated with the ECTE=0 and the ECTE∈TI, the test patterns of the ECTE=1 are obtained by replacing all logic0 values of the ECTE with logic 1 in the zero-biased test patterns. The derived test patterns are used to incorporate the environment test results into the TO in the test pattern composition, where the environment output is available.

The test patterns of the CUT are generated as follows:

Zero-Biased Test Pattern Generation Procedure

-   -   1. Disable environment constraint test instrument (ECTI): ECTE=0     -   2. Generate zero-biased test patterns TP₀ according to test         protocol     -   3. If equation ECTE=f(TI′) can be satisfied, where TI′⊆TI,         -   3.1. Generate info file for test pattern replacement             -   3.1.1. ECTE function and/or assignment of input TI′ that                 can satisfy the ECTE=1     -   3. Otherwise,         -   3.1. Enable environment constraint test instrument (ECTI):             ECTE=1         -   3.2.Generate zero-biased test patterns TP₁ according to test             protocol

The zero-biased test patterns can always be generated by default. Since the ECTI output is always zero independent of the ECTE in the zero-biased test patterns, it is independent of the ECTE. Determination of the ECTE are considered in composition of the test patterns. For the purpose of illustration, the ECTE=0 is assumed in the test pattern generation of the zero-biased test patterns. The test patterns with the ECTE=0 and 1 are denoted as the ECTE-disabled and enabled test patterns, respectively. If the ECTE could be controllable by the inputs of TI′⊆TI in the test patterns, the ECTE-enabled test patterns are derived by new assignment of the TI′ that can satisfy the ECTE=1.

Replacement of the IO values in any test patterns must warrant integrity of test patterns after replacement. If, for example, the ECTE∈TI′, independence of the ECTE in the zero-biased test patterns can justify the integrity of the test patterns after replacement. Any assignment of the ECTE does not alter the zero-biased test patterns. If, the ECTE could not be satisfied in the test patterns, the ECTE-enabled test patterns can separately be generated with the ECTE=1 and used in the composition of test patterns.

The ECTE-disabled zero-bias test patterns of the CUT are self-contained and independent of the environment constraints. Synchronization constraints among the subsystem tests can independently be satisfied by the test sequence in the composition of test patterns. Synchronization constraints can include the constant environment output constraint. Composition of the ECTE-disabled zero-bias test patterns can amount to calculation of the test sequence to satisfy synchronization constraints to achieve the constant environment output during the test execution of each subsystem. In the system tests which employs the composed ECTE-disabled test patterns, each subsystem are tested in isolation according to the test sequence without influence of the environment.

The test pattern generation are viewed as calculation of input and output values according to a test protocol. The test protocol prescribes how the test patterns to be generated and the test to be performed at the CUT. The test protocol of the zero-biased test pattern generation are summarized as follows:

Test Protocol

-   -   1. Test setup     -   2. Test data delivery         -   2.1. Load or deliver test input to of pseudo-PIOs (or scan             FFs) through TI of CUT             -   2.1.1. Load TVR with input v′         -   2.2. Measure contents of pseudo-PIOs through TO     -   3. Update TVR to recover g(x): TVR=g(x)     -   4. Test execution         -   4.1. Force primary input: FI=0         -   4.2. Measure primary output FO         -   4.3. Launch and Capture     -   5. Update to recover loaded input: TVR=v′     -   6. Go to 2

The test data are delivered to the CUT after the test setup. The TVR are loaded with the input v′ in the test delivery. While test input data are being delivered through the TI, the captured test response are unloaded through and measured at the TO. After the test delivery, the TVR are updated with the environment output x to recover the g(x), g(x)=v′⊕x. The same x captured in the g(x) can remove the environment output x, as v′=g(x)⊕x, to maintain the input v′ at the CUT. The input FI are forced to all zero, or FI=0. The test output can also be measured at the FO. The delivered test stimulus are launched and test response captured into the scan-able flip-flops (FFs). After the test execution, the TVR are updated to restore the v′ into the TVR. The captured test response and the restored TVR are unloaded through the TO while new test stimulus delivered via the TI. The procedure repeats until all test patterns are generated. The test patterns are composed with and without environment output x from the ECTE-enabled and disabled test patterns, respectively.

The composed ECTE-disable test patterns can implement a test isolation of the CUT. The input of the CUT are provided from the TVR before the test execution, the g(x) recovered to remove the x during the test and the original input restored after the test, as implied by the input invariance. Composition of the ECTE-disabled test patterns are summarized as follows.

Composition of Test Patterns without Test Output Encoding

-   -   1. Inputs: a set of zero-biased test patterns to be composed and         IO connectivity of subsystems     -   2. Calculate test sequence based on the connectivity of         subsystems, if not given.     -   3. Optionally, if beneficial, replace FI values in test patterns         of each subsystem with its environment constraints         The composition of test patterns can transform a given set of         test patterns of constituent subsystems into the test patterns         of a target system based on their IO connectivity and the test         sequence. The IO connectivity can identify environment of the         subsystem. The test sequence can specify the order of test         execution of the subsystems to satisfy the constant environment         output. The test sequence are calculated from the connectivity         of subsystems. The composition of the zero-bias test pattern are         insensitive to change of the test sequence. Since the         environment constraints are not considered, regeneration and         recomposition of the test patterns may not be required even if         the test sequence changes. The input invariance can ensure the         the FI to be removed during the test execution of the CUT.         Hence, they are don't-cares and assigned to any random values.         If beneficial, the FI are utilized for the environment output.         That is, the FI are assigned with the environment output in the         composition of test patterns according to the prescribed test         sequence. If the test sequence were changed, new assignment of         the FI are made without regeneration of the test patterns. Using         of the FI for the environment output may be advantageous in         completing the test patters of the CUT for the environment         constraint test.

The ECTE-enabled test patterns are composed based on the given ECTE function and the test output encoding function, in addition to the set of test patterns and the IO connectivity. Alternatively, replacement of values of the TI′ that satisfy the ECTE=1 can be provided instead of the ECTE function. The provided values can be employed in the composition of test patterns to replace the corresponding values in the given zero-biased test patterns. The test sequence can be required not only to ensure the constant output of the environment but also to infer the before or after-test environment test output for replacement or new assignment of the FI in the composition of test patterns. If, for example, the environment precede the testing of the CUT, the after-test environment output is to be assigned to the FI in order to replace the corresponding values in the given zero-biased test patterns. Otherwise, the before-test environment output is assigned. The composition of the ECTE-enabled test patterns are summarized as follows.

Composition of Test Patterns with Test Output Encoding

-   -   1. Inputs: a set of zero-biased test patterns to be composed, IO         connectivity of subsystems, ECTE function and test output         encoding function     -   2. Calculate test sequence from connectivity of subsystems, if         not given.     -   3. Set ECTE=1 in the composed test patterns         -   3.1. If equation ECTE=f(TI′) can be satisfied in TP₀, where             TI′⊆TI, use test patterns TP₀             -   3.1.1. Replace test input of the TI′ in the test                 patterns to set ECTE=1         -   3.2. Otherwise, use test patterns TP₁     -   4. Assign before or after-test environment output to the FI in         the given zero-biased test patterns according to the test         sequence     -   5. Calculate output of ECTI from FI     -   6. Encode TO based on the ECTI output according to definition of         test output encoding function         From the given connectivity of the subsystems, the test sequence         are calculated to satisfy the requirements. If the ECTE are         controllable from a set of inputs in the TI′, the assignment of         the TI′ that can satisfy the ECTE=1 are determined and assigned         to the ECTE-disabled test patterns to obtain the ECTE-enabled         test patterns. If the ETCE cannot be satisfied, the ECTE-enabled         test patterns are provided for the composition. If, for example,         the ECTE=i1 & i2 and the TI′={i1, i2}⊆TI, assignment of i1 to 1         and i2 to 1, denoted as (i1, i2)=01, can satisfy the ECTE=1. The         (i1, i2)=01 are assigned to the i1 and i2 in the ECTE-disabled         test patterns to attain the ECTE-enabled test patterns. The         environment output are assigned to the FI in the test patterns         according to the test sequence. The assigned environment output         are used to calculate the ECTI output. The test output TO in the         test patterns is then encoded based the ECTI output. After         composition, the composed test patterns can contain the replaced         ECTE value, the FI and encoded TO. The composed test patterns         are applied to the testing of the target system. The subsystem         and its environment output constraints can concurrently be         tested in isolation without influence of each other.

Interconnection test between the environment and the CUT can be achieved implicitly by the ECTI. The interconnection test results can be captured into the environment output which the ECTI sampled. Alternatively, the interconnection can be made explicit by incorporation of the TL into the environment output as shown in FIG. 3E. The TL embedded in the input and output are called input and output TL, respectively. Similarly, the TVR of the input TL and output are called the input TVR and output, respectively. The output TL can explicitly control the output through the same periodic behavior. If the output TVR were initialized with the required environment output x, the interconnection test can be achieved by recovery of the translation vector function g at both the input TVR and output. The interconnection test which employs the output TL can be summarized as follows:

Interconnection Test Employing the Output TL

1. Initialize output TVR with required environment output x and input TVR any arbitrary input

2. Update output TVR to recover g(y) for removal of any arbitrary system output y

3. Update input TVR to recover g(x) for capture of environment output x

4. Observe the g(x) in the input TL for test decision

The output TVR can be initialized with any required environment output x for the interconnection test. After update of the output TVR, any system logic output y can be translated into the environment output x by the TL, as discussed. Hence, the system output can be removed and isolated from the environment output x. When the required environment output is established, the input TVR can be updated to the capture the environment x to construct the g(x). The g(x) then can be observed for test decision. Since the updates of the input TL and output are sequential, the interconnection test can be carried out in parallel without interleaved by the test delivery.

The TL can non-intrusively isolate each core for silicon debug. The TL can provide input to the core based on the output of source and observe output through a set of translation layers of sinks to which it provides inputs. Furthermore, if output of source are forced to a logical constant 0 or 1, input of core under test are directly provided from the TL. Application of the TL in generation and verification of test patterns for system-level test are beneficial, especially when source is not yet available or complete. Constant input of the TL, for example, are provided from black box model of source when source is unavailable and are replaced with its reset state later. Replacement can results in recalculation of translation vectors only. The test patterns are unaffected. Outputs of source are fixed to determined logical values by turning off the core test with a control input ON=0, as shown in FIG. 3A. Note that Reset is assumed to be a system reset and ON a local on-off test control input confined to core under test only. XOR in the TL can function as a buffer or an inverter if input of the TL is logic 0 or 1, respectively. Thus, the input of core under test are provided by loading the translation vector registers with the required input or its logical negation depending on the reset value.

Alternatively, if reset were unavailable, constant input of the TL are calculated from the previously delivered test pattern or provided by suppressing output of source or input of the TL, as shown in FIG. 3B. The input of the TL, for instance, are tied to logic 0, if ON=0. Otherwise, output of source is enabled in the TL.

With an aid of ON test control signal, a set of all translation layers employed in system under test can provide test access for silicon debug. ON can allow input of core to be determined solely by the TL. Output of core also be captured into the translation layers of its sinks.

The TL can also aid to preserve test coverage of source. The translation layers can retain original source test coverage by observing the source output via the TVR as shown in FIGS. 3A and 3B. Output of source are sampled into the TL when the sink test is finished and the translated input is no longer needed.

The translation layer are integrated into core or separately inserted outside of core, as shown in FIG. 4. The translation layer defined in the Property 1 are valid for integration of TL outside of cores. Since the TVR are excluded from the core, it are determined independent of the ATPG of core to satisfy any communication constraint. If the TL were integrated into the core, however, the ATPG of core can consider the TVR as a part of core logic. Content of the TVR resulted in the core test patterns, denoted as tv₀, should be considered in determination of the translation vector g(x), to correctly account for input of the sink that depends on the tv₀. The TL is the same except its input is changed from v to v⊕tv₀. The new TL, denoted by T(x), are similarly determined as follows.

Property 2 v′=T(x), where T(x)=g(x)⊕x, g(x)=(v′⊕x) and x=v⊕tv ₀

Proof v′={Identity of ⊕} v′⊕(v⊕tv ₀)⊕(v⊕tv ₀)={let x=v⊕tv ₀} T(x)={let g(x)=(v′⊕x)} g(x)⊕x

(End of Property and Proof).

The g(x) in Property 2 is a general form of the g(x) in Property 1. The g(x), for example, are obtained if the tv₀=0.

Input of the TL must be stable for its application. To meet the communication constraints, the output of source must be determined and stay unchanged prior to translation for the testing of sink. This is called a stable input constraint of TL or simply a stable input constraint. The stable input constraint are summarized as

1. No combinational feedback in the IO logic of the composed netlist

2. No pass-through combinational path in the IO interface logic of each core

3. No two connected cores in the IODG can execute the test in parallel

Feedback loop, as shown in FIG. 4, can cause the sink input to be unstable. The cores that are connected through combinational paths in intermediate cores can cause unstable input when their tests are executed in parallel. Conventional DFT methods are available to eliminate those combinational feedback and path in test mode. Commonly known method is to insert storage cells to break the combinational loop and the path in test mode. The cores that share no channel between them can always satisfy the stable input constraint, if no combinational path is present in the intermediate core that connect them. Those non-interacting cores are identified from the IODG by graph coloring algorithm and their tests are performed in parallel. Note that, without disabling the combinational paths, the cores that are not connected in the IODG but connected through the combinational paths in the intermediate cores cannot be colored in the same color. The IODG should be refined to indicate core connectivity due to the combinational paths. For the purpose of discussion, the IODG is to assume to contain all connectivity of cores.

A Topological view of the system incorporating the TL is shown in FIG. 5. The TL are assigned to input or output of each core. In the scheme, the TL is incorporated into input of each core. If the stable input constraint were satisfied, the test are continued for all cores without initialization. Sequential depth needs not be increased in composition of test patterns for continued execution of the core tests because the TL can translate any test patterns.

Any sequence of core tests which can satisfy the stable input constraint and communication constraint is defined as a test sequence (TS). A parallel test of cores are allowed in the test sequence. A set of cores to be tested in parallel are obtained from the IODG by known graph coloring algorithms. For the example shown in FIGS. 6A and 6B, the test sequence are TS₀={Core 1, Core 3}→Core 2→Core 0. Since there is no channel between Core 1 and 3, they can satisfy the stable input constraint and their tests are executed in parallel. Core 0 and 2, however, can't be tested in parallel because the testing of one can interfere with that of another, violating the stable input constraint. If the stable input condition is not met for any channel, any input to the channel cannot be reliably translated to meet communication constraints. Similarly, Core 1 cannot be tested in parallel with the Core 0 and 2. Therefore, the test sequences are the testing of Core 1 and 3 are performed in parallel followed by sequential test of Core 0 and Core 2. Note that Core 1 and 3 are test in any order. There are multiple test sequences, for example, TS ₁={Core 0,Core 1}→Core 3→Core 2 TS ₂=Core 0→Core 1→Core 2→Core 3

The translation layers are determined for a sequence of the core tests. The TL of sink, for example, are determined to translate either output of source before or after the test, denoted as a pre- and a post-test output of source. If the test of source precedes that of sink, the TL of sink are determined from the post-test output of source. Otherwise, the TL are determined from the pre-test output. The output of source to be used in calculation of the TL are determined by a precedence relation of test executions implied in the test sequence. The test sequence are considered as a partially ordered set, or a poset. The poset is a set P and a binary relation ≤such that for all a, b, and c in P, a≤a (reflexivity), a≤b and b≤a implies a=b (antisymmetry), a≤b and b≤c implies a≤c (transitivity) The test sequence are a poset with the P being a set of all cores in system under test and the binary relation ≤being precedence of test execution. If source ≤sink, the pre-test output of source are used for calculation of the TL in the sink. Similarly, if sink <source, the post-test output of source are used. The TS₀={Core 1, Core 3}→Core 2→Core 0, for example, are interpreted as a poset (P, ≤)={(Core 1, Core 2), (Core 3, Core 2), (Core 2, Core 0), (Core 1, Core 0), (Core 3, Core 0)}. Thus, the TL of Core 2 are determined from the post-outputs of both Core 1 and Core 3 and the pre-test output of Core 0. Calculation of the TL for the given test sequence TS₀ are summarized as follows in Table 2.

TABLE 2 Core Translation Layer Equations Core 0 T_(1,0) = output(c_(1,0)) ⊕ post(input(c_(1,0))) T_(2,0) = output(c_(2,0)) ⊕ post(input(c_(2,0))) Core 1 T_(0,1) = output(c_(0,1)) ⊕ pre(input(c_(0,1))) T_(2,1) = output(c_(2,1)) ⊕ pre(input(c_(2,1))) Core 2 T_(0,2) = output(c_(0,2)) ⊕ pre(input(c_(0,2))) T_(1,2) = output(c_(1,2)) ⊕ post(input(c_(1,2))) T_(3,2) = output(c_(3,2)) ⊕ post(input(c_(3,2))) Core 3 T_(2,3) = output(c_(2,3)) ⊕ pre(input(c_(2,3))) The TL are expressed in terms of source and sink of the channel. The output of source and the input of sink are the input and the output of channel, respectively. Let source x and sink y to denote Core x and Core y, respectively. Input of the sink y is the output of channel c_(x,y), denoted by output(c_(x,y)). Similarly, the pre and post-output of the source x are the pre and post-input to the channel c_(x,y), denoted as pre and post(input(c_(x,y))), respectively. The TL are obtained by bit-wise XOR operation of the output(c_(x,y)) with the pre or post(input(c_(x,y))) depending on the precedence relation defined in the test sequence.

Each core can comprise multiple clock domains. Multiple clock domains can have the same communication constraints as the cores in system under test. Without resolution of the communication constraints, achievement of parallel ATPG, test pattern reuse and high test pattern utilization are difficult. As a consequence, continued test execution of all clock domains in the same test pattern may require a sequential ATPG that may involve all clock domains. The sequential ATPG incorporating all clock domains can increase test pattern count and test development cost. The translation layer are similarly applied to multiple clock domains to achieve high utilization by reusing independently generated test patterns obtained from the parallel ATPG of cores. The TL can eliminate a need of sequential ATPG that is to satisfy communication constraints of any test sequence.

An overview of compositional ATPG is summarized in FIG. 7. For a given system under test, test patterns of cores are independently generated in parallel. The core test patterns are reused for various test sequences depending on test applications. Generated core test patterns are composed to form test patterns of a higher-level of design hierarchy or a target system. The composition of test patterns are summarized in the following steps:

-   -   1. Generate test patterns of all cores in parallel     -   2. For a given test sequence and IODG, compute the translation         vectors for all sinks specified in the IODG     -   3. Combine the core test patterns with the translation vectors         to obtain test patterns of the target system

Composition of test patterns can amount to computation of translation vectors based on a given set of core test patterns, test sequence and a labelled IODG. Computation of the translation vectors for each core can require the test patterns of both core and test environment in which the core test is applied to. The test environment of core can comprise system excluding the core and system environment. The test environment can provide inputs and observe outputs of core in a targeted test. The test environment of the core are potentially quite large and complex in 3D integrated circuits (ICs).

To cope with complexity and test development challenges, any design entity or core are represented with its test patterns for context of the test. Test environment specification are defined for each design entity as its input and output requirements. The test environment specification are obtain from the test patterns of the design entity by reversing IO direction. The test environment specification are employed in construction of test environment for any level of design hierarchy and resolution of communication constraints.

The test patterns of core are viewed as a stream of inputs and outputs of which the core are allowed to engage in a given test. The stream of IO specified in the test patterns is an IO behavioral specification. Similarly, the test environment specification of the core is a set of test patterns that specify inputs to and outputs from the core in a targeted test. A set of all inputs and outputs of the test environment specification are denoted as the ITE and OTE, respectively. Note that the core and its test environment specification can form a closed system and the translation vectors between them are all zero. The translation vectors can indicate disagreements between the core inputs and their corresponding test environment outputs. The test environment of core are specified by the OTEs of sources for input of the core and the ITEs of sink for output. Hence, the ITE of the core are satisfied by the OTEs of sources through the translation and the OTE by the ITEs of sinks.

The test environment of the core are specified in the following format shown in Table 3.

TABLE 3 Test Pat. No. Input Test Environment (ITE) Output Test Environment (OTE) TP# LI, TI LO, TO Input and output specifications of the test environment are provided in the ITE and the OTE sections of the test pattern format, respectively. For the core under test, there are leading inputs (LIs), leading outputs (LOs), trailing inputs (TIs), and trailing outputs (TOs). Each test pattern of the test environment are enumerated with the same test pattern number as that of the core to maintain their correspondence or mapping. The ITE of the core are satisfied by the OTEs of the sources through the translation. Similarly, the OTE of the core are translated into the ITEs of the sinks to provide the required test input. The translation can enable the output of the core to be checked not only by the sink test but also by the translation layers at the end of the sink test.

The test patterns of core x are defined as CORE_TP_(x)={CORE_TP_(x)[x.i]|0≤x.i<tp_count(CORE_TP_(x))}  Eq. 11 where CORE_TP_(x)[x.i] denotes the test pattern that corresponds to the test pattern number xi in the CORE_TP_(x) and the tp_count(Y) a function that returns a number of test patterns in the Y. Note that each test pattern is enumerated by the test pattern number and hence are uniquely identified. CORE_TP is a set of all test patterns that are addressed by the test pattern number. Each test pattern CORE_TP_(x)[x.i]∈CORE_TP_(x) are addressed by the pattern number prefixed with a core name or address. Similarly, a set of all independently generated test patterns of cores in the system under test, denoted as SYS, are defined as CORE_TP_(x)={CORE_TP_(x)|Core x∈cores(SYS)}  Eq. 12

A set of inputs and outputs that the test environment are required to provide and observe are called input and output test environments of core x, ITE_(x) and OTE_(x), respectively. The ITE_(x) and OTE_(x) are specified as ITE_(x) ={x.#TP_(#) .x.LI.x.TI)|0≤x.#TP#<tp_count(CORE_TP_(x))}  Eq. 13 OTE_(x) ={x.#TP_(#) .x.LO.x.TO)|0≤x.#TP#<tp_count(CORE_TP_(x))}  Eq. 14 A set of all ITE_(x) and the OTE_(x), are defined as ITE={ITE_(x)|Core x∈cores(SYS)}  Eq. 15 OTE={OTE_(x)|Core x∈cores(SYS)}  Eq. 16

Satisfaction of communication constraints can imply the input to be provided from the test environment and the output observed. The satisfiability relation between a test environment P_(x) of core x and the test environment Q_(y) of core y, are defined as (P _(x) sat Q _(x))={(P[x.i],Q[x.i])|0≤x.i<tp_count(Q _(x)),Q[x.i]=T(P[x.i])}  Eq. 17 Satisfiability relation can indicate that test environment can fulfill communication constraints in test patterns of corresponding core. Satisfiability relation are similarly defined for each test pattern of test environment p∈P_(x) and a core test pattern q∈Q_(x) as p sat q, if q=T(p). The satisfiability relations (ITE_(x) sat CORE_TPI_(x)) and (OTE_(x) sat CORE_TPO_(x)) is satisfaction of controllability and observability, respectively.

The test patterns of the target system, denoted as SYS_TP, are considered a mapping that links the test patterns of source to those of the sink with the translation vectors that can satisfy communication constraints between them. SYS_TP:CORE_TP×CORE_TP→TV TV:OTE→ITE where the TV is a set all translation vectors that can satisfy communication constraints. Cartesian product of test patterns are denoted with x and a mapping or a function with →.

The TV are viewed as a function that can map the output of source specified in the OTE of the source to the input of sink specified in the ITE of the sink to satisfy communication constraints. The IODG can provide channel connectivity information to identify source and sink for the test. The test sequence are employed to determine the translation vectors based on the pre- or post-test of the source output. The calculated translation vectors are combined with corresponding core-level test patterns to form system-level test patterns.

With an assumption that the translation layer are incorporated into the input of each core, targeted system-level test patterns, denoted as SYS_TP, are expressed in terms of the test pattern numbers of source and sink and the translation vectors that link corresponding test patterns according to the IODG as SYS_TP={(x.i,y.j,tv)|∀x,y∈cores(SYS), 0≤x.i<tp_count(OTE_(x)),OTE_(x)∈OTE, 0≤y.j<tp_count(ITE_(y)),ITE_(y)∈ITE, tv∈TV} The definition of SYS_TP can imply that the tp_count(ITE_(x))=tp_count(ITE_(y)) and hence tp_count(CORE_TP_(x))=tp_count(CORE_TP_(y)) after composition of test patterns, if test coverage were to be preserved in both source and sink.

If source were registered-output design or its outputs were registered, the output registers are used to provide input of sink directly for test pattern composition. The output registers, however, are modified after the source test. The test sequence must account for such limitations in scheduling of the core tests for optimized utilization. Even in case of the registered-output, the translation layers are applied to overcome the limitations and to lower test development costs.

The composition of test patterns in multi-processor environment can expedite test development of a large system to meet an aggressive time-to-market demand, and thereby increasing the competitive advantage. One commonly cited approach is exploiting parallelism offered in multiprocessor computers. The effectiveness of parallelism corresponds to whether the problem are efficiently scaled to use the computing environment. To increase scalability, input-output dependencies of the cores that comprise the system under test are ignored to allow parallel ATPG of individual cores. The disregarded or unused IO dependencies are recovered by the translation layer during composition of the test patterns to form system test patterns.

The test environment are structured to exploit parallelism. The test environment of the core can specify input and output requirements of the core for a given test. It can encapsulate the core for a given test and allow the independent ATPG. The test environment of each core are exchanged for computation of the translation vectors and for test coverage closure. The translation vectors for each core are efficiently computed from the OTE of the source and the ITE of the sink. Computation of translation vectors from the exchanged test environments to satisfy the communication constraints can cost far less than generation of system test patterns based on a netlist of integrated cores to satisfy the same constraints.

System level test may involve interaction of cores. Interaction of cores are required in the testing of their interface logic. Examples of such tests are inter-core test and inter-clock domain test. In those tests, as shown in FIG. 8, input stimulus transition are launched from one core, clock domain or source and captured into another or sink. To satisfy the communication constraint, transitions in the output test environment of source and the input test environment of sink, should be synchronized or matched. The translation layer can translate any transition and logic value to satisfy the communication constraint. If the transitions were not matched due to absence of transitions in either test environment, communication constraints are satisfied by addition of supplemental test patterns that contain the required transitions in composition of test patterns. The supplemental test patterns are generated by ATPG based on the test environments of source and sink. If the ATPG must allow excessive number of transitions in the test patterns, those unwanted transitions are filtered by control points that can block propagation of unnecessary transitions. The control points are incorporated into the core output or the input of the TL.

Since the composition of test patterns is based on channels, test environment of channel are useful for computation of the translation vectors. The test environment of a channel c_(x,y)[n−1:0] established from the test environment x to the y are defined by projection of the test environment on the channel of interest. Projection of the OTEx to the channel of interest c_(x,y) are defined as follows.

${{{For}\mspace{14mu} a\mspace{14mu}{given}\mspace{14mu}{OTE}_{x}} = \left\{ {\left( {{{x \cdot {TP}}\#},{x \cdot {LO}},{x \cdot {TO}}} \right)❘{0 \leq {{x \cdot {TP}}\#} < {{tp\_ count}\left( {CORE\_ TP}_{x} \right)}}} \right\}},{{\begin{matrix} {\mspace{79mu}{{OTE}_{x,y} = \left. {OTE}_{x}\uparrow\left( {{{out\_ channels}\mspace{11mu}(x)}\bigcap{{in\_ channels}\mspace{11mu}(y)}} \right) \right.}} \\ {= \left\{ {{{ote}(x)}❘{0 \leq {{x \cdot \#}{TP}\#} < {{size}\left( {OTE}_{x} \right)}}} \right\}} \end{matrix}{{ote}(x)}} = {\underset{\_}{A}\left( {{{i\text{:}0} \leq i \leq {n - 1}},{{{x \cdot {{out}\lbrack i\rbrack}} \in \left( {{{out\_ channels}\mspace{11mu}(x)}\bigcap{{in\_ channels}(y)}} \right)}:\mspace{20mu}\left( {{{{x \cdot \#}{TP}\#},{x \cdot \left. {LO}\uparrow x \right.}}{{\cdot {{out}\left\lbrack {n - {1\text{:}0}} \right\rbrack}},{x \cdot \left. {TO}\uparrow x \right. \cdot {{out}\left\lbrack {n - {1\text{:}0}} \right\rbrack}}}} \right)}} \right)}}$ Note that if out_channels(x)∩in_channels(y) were empty, then the OTE_(x,y) is empty. In the definition of the ote(x), universal quantification is denoted by A(L:D:E) where A is a quantifier for all, L is a list of variables, D is a predicate and E is the quantified expression. Each field of the OTE_(x) are addressed by a dot extension. Projections of a number of bits in the x.LO and x.TO on the specified bits of the x. out are denoted as x.LO↑x.out[n−1:0] and x.TO↑x.out[n−1:0], respectively. The projection x.LO↑x.out[n−1:0] or x.TO↑x.out[n−1:0] can extract the bits corresponding to the x.out[n−1:0] from the x.LO or the x.TO, respectively, if exists. Otherwise, no bit are extracted. Similarly, projection of the ITE_(y) on a channel of interest c_(x,y) are defined as

${{{For}\mspace{14mu} a\mspace{14mu}{given}\mspace{14mu}{ITE}_{y}} = \left\{ {\left( {{{y \cdot \#}{TP}\#},{y \cdot {LI}},{y \cdot {TI}}} \right)❘{0 \leq {{y \cdot \#}{TP}\#} < {{tp\_ count}\left( {CORE\_ TP}_{y} \right)}}} \right\}},{{\begin{matrix} {\mspace{79mu}{{ITE}_{x,y} = \left. {ITE}_{y}\uparrow\left( {{{out\_ channels}\mspace{11mu}(x)}\bigcap{{in\_ channels}\mspace{11mu}(y)}} \right) \right.}} \\ {= \left\{ {{{ite}(y)}❘{0 \leq {{y \cdot \#}{TP}\#} < {{size}\left( {ITE}_{y} \right)}}} \right\}} \end{matrix}{{ite}(y)}} = {\underset{\_}{A}\left( {{{i\text{:}0} \leq i \leq {n - 1}},{{{y \cdot {{in}\lbrack i\rbrack}} \in \left( {{{out\_ channels}\mspace{11mu}(x)}\bigcap{{in\_ channels}(y)}} \right)}:\mspace{20mu}\left( {{{y \cdot {TP}}\#},{y \cdot \left. {LI}\uparrow y \right. \cdot {{in}\left\lbrack {n - {1\text{:}0}} \right\rbrack}},{y \cdot \left. {TI}\uparrow y \right. \cdot {{in}\left\lbrack {n - {1\text{:}0}} \right\rbrack}}} \right)}} \right)}}$ Similarly, if out_channels(x)∩in_channels(y) were empty, then the ITE_(x,y) is empty. The OTE_(x,y) and the ITE_(x,y) are called an input and output test environment of channel c_(x,y), respectively. They contain only leading and trailing IO of the channel of interest. The translation vectors for pre- and post-test of source, denoted as PRE_TV_(x,y) and POST_TV_(x,y) respectively, are calculated from the OTE_(x,y) and the ITE_(x,y) as PRE_TV_(x,y) =A (i,j:0≤size(OTE_(x,y)),0≤y.j<size(ITE_(x,y)):TV_(x,y)[x.i,y.j]=OTE.LO_(x,y)[x.i]⊕ITE.LI_(x,y)[y.j])  Eq. 18 POST_TV_(x,y) =A (i,j:0≤x.i<size(OTE_(x,y))i:0≤y.i<size(ITE_(x,y)):TV_(x,y)[x.i,y.j]=OTE.TO_(x,y)[x.i]⊕ITE.LI_(x,y)[y.j])  Eq. 19 The TV_(x,y)[x.i,y.j] can contain difference of the x.i-th and y.j-th n-bit translation vectors of the OTE_(x,y) and the ITE_(x,y), respectively. Note that the index i are the same as the j. The TV_(x,y)[x.i, y.j] are obtained by a n-bit bit-wise XOR of the ITE.LI_(x,y)[y.j] and the OTE.LO_(x,y)[x.i] in PRE_TV or of the ITE.LI_(x,y)[y,j] and the OTE.TO_(x,y)[x.i] in POST_TV. The bit-wise XOR operation assumes that the number of test patterns in the ITE_(x,y) and the OTE_(x,y) are the same to preserve test coverage of both Core x and y, or size(OTE_(x,y))=size(ITE_(x,y)). This assumption, however, are satisfied by extending the shorter test patterns until the test pattern count in both the ITE_(x,y) and OTE_(x,y) are the same. If, for example, the size(ITE_(x,y))−size(OTE_(x,y))=d and d>0, the OTE_(x,y) are extended with the d number of test patterns of the OTE_(x,y) with new test pattern numbers by repeating d number of test patterns at the end to complete the bit-wise XOR with the ITE_(x,y). Equalization of test pattern count to cover the longer test patterns are important for preservation of test coverage, as discussed earlier. Note that all test patterns are unique with respect to their test pattern numbers in the equalized test patterns.

Composition of test patterns of cores that do not interact during the test are summarized as follows:

-   1. From inputs; IODG and test sequence TS, -   2. Generate test patterns of all cores and their test environments     in parallel     -   a. obtain CORE_TP_(x), ITE_(x) and OTE_(x) -   3. From a given IODG, for each core y and for all its source x and     sink z     -   a. Compute output channel environment ITE_(x,y)     -   b. Compute input channel environment OTEy_(y,z)     -   c. Send OTE_(y,z) to the sink z and receive OTE_(x,y) from the         source x -   4. equalize test pattern count of OTE_(x,y) and ITE_(x,y) by     extension     -   a. Obtain tp_count(OTE_(x,y))=tp_count(ITE_(x,y)) -   5. Compute TV_(x,y) from OTE_(x,y) and ITE_(x,y) for a given test     sequence TS     -   a. ∀x,y. {if source x executes the test before sink y, compute         TV_(x,y)=POST_TV_(x,y) else compute TV_(x,y)=PRE_TV_(x,y)} -   6. Construct SYS_TP by composing the core test patterns with the     TV_(x,y)     -   a. SYS_TP={(Core_TP_(x)[x.i], Core_TP_(y)[y,i],         TV_(x,y)[x.i,y.j])|∀x,y. Core x, y∈cores(SYS),         -   0≤x,i<tp_count(Core_TP_(x)), 0≤y,j<tp_count(Core_TP_(y)),             TV_(x,y)[x.i,y.j]∈TV_(x,y)}

Synchronization of transitions are crucial for the at-speed testing of the IO logic of interacting cores. The test environment of each core can provide a specification of communication constraints of transitions for the targeted test. Controllability requirement of input transitions are specified in the ITE and observability requirement of output in the OTE. Transition test coverage of the IO logic are preserved if both requirements are satisfied.

Location and polarity of transitions in each test environment are calculated from the leading and trailing values in the test pattern. Polarity of transition can indicate whether the transition is a rising or a falling. Location of the transition are identified by bit-wise XOR operation of the leading and trailing values. Presence of transition in the k-th bit of core input and output, for example, are indicated by LI[k]⊕TI[k]=1 and LO[k]⊕TO[k]=1 for all k, respectively. From the transition, polarity of the transition are identified by leading or trailing value of the transition. If the leading (trailing) value were logic 0, the transition are a rising (falling) transition. Otherwise, it is a falling transition. Location and polarity of transition in the k-th bit input and output are summarized in Table 4. The L[k] and the T[k] can denote either LI[k] and TI[k] or LO[k] and TO[k].

TABLE 4 L[k] T[k] L[k] ⊕ T[k] Transition 0 0 0 No transition 0 1 1 Rising transition 1 0 1 Falling transition 1 1 0 No transition

Note that, with an aid of the translation layer T, the OTE_(x,y) can provide any transition in the ITE_(x,y), if the following are satisfied A (j:0≤j<size(ITE_(x,y)):(ITE.LI_(x,y)[j]⊕ITE.TI_(x,y)[j])≠0, E (i:0≤i<size(OTE_(x,y)):(OTE.LO_(x,y)[i]⊕OTE.TO_(x,y) [i])⊕(ITE.LI_(x,y)[j]⊕ITE.TI_(x,y)[j])=0))

where ITE.LI_(x,y)[j]=T(OTE.LO_(x,y)[i]) and ITE.TI_(x,y)[j]=T(OTE.TO_(x,y)[i])

where the E denotes an existential quantifier that are similarly defined as the universal quantifier A. The bold-case zero or 0 denotes a multi-bit zero vector that is the same size as the operand. Since the translation layer T can translate any polarity of transition into one of two possible polarities of transitions, any transition in the OTE_(x,y) are sufficient to provide all possible polarities of the synchronized transitions in the ITE_(x,y).

The test pattern format of core are extended to include the test environment for test pattern composition as

Test Pat # Internal Reg ITE OTE TP # SI, TVI SO, TVO PI TI PO TO The SI denotes scan input to initialize internal registers of the core under test and the SO the test response to be brought out from the same internal registers after the test. The TVI denotes the translation vectors to be delivered to the TVR before the test for translation. The TVO denotes the output of source captured into the TVR after the sink test for recovery of source test coverage. The PI denotes the applied primary input to produce the primary output and the PO the expected primary output to be compared with the produced for test decision. The PI are the leading value of the test environment and can correspond to the LI in the test environment. Similarly, the PO are the leading value and can correspond to the LO in the test environment. The PI and TI are inputs to be provided to the core under test from the test environment through the TL. The PO and the TO are considered as the expected pre- and the post-test outputs to be measured by the test environment, respectively. The PI and the TI of the core under test are the translated version of the PO and TO of source, respectively. The PI (PO) and the TI (TO) are the same for the core test and different for the inter-core test. For the inter-core test, the launch transition are specified in the PI and the TI and captured in the core under test. The PO and the TO can provide transitions to sink. A set of all pairs (PI, TI) and (PO, TO) can form the ITE and OTE of the core, respectively. Note that, for the testing of interacting cores, the final value of source output, or the TO of source, must be synchronized to the PI of sink for the core test and the pair (PO, TO) to (PI, TI) for inter-core test.

The extended test pattern format are only used internally for composition of test patterns. The TI and TO, for example, are present for computation of the translation vectors and and are removed from the final test patterns that are employed in manufacturing test.

After composition of the test patterns, the final manufacturing test patterns are written out in the following format:

TP # SI, TVI SO, TVO PI_(SYS) PO_(SYS)

As noted, addition of the translation vectors is main difference compared to the conventional test pattern format. The PIsys and the POsys can denote inputs and outputs connected to primary inputs and primary outputs of the system under test. Input and output of the core that are connected internally are removed from the test patterns. The translation vector registers are assigned to the internal input of the sink. Thus, the size(PI_(SYS))=size(PI)−size(TV) in each test pattern of any core, where the size(x) denote a number of bits in x.

The translation layer can function as a test point and improve testability. The translation layer can transform any source output transition and logic value into the required sink input (controllability). It can also measure the output of source after the sink test (observability).

Aim of the at-speed inter-core test (ICT) is to detect delay faults in IO logic of interacting cores. Example of the inter-core test is depicted in FIG. 8. The at-speed ICT are achieved by providing transition stimulus from source through its output logic and observe expected output transition at sink through its input logic. For the ICT, a set of synchronized output transitions of source and input transitions of sink through the TL can determine test coverage. The output transitions of source are provided in the OTE of source and the required input transitions of sink in the ITE of sink. The TL can translate elements of the OTE to match those of the ITE. To preserve the original transition test coverage of independently generated test patterns of both source and sink, the OTE of source are required to provide transitions in the ITE of sink through the TL. Propagation of the provided transitions through the IO logic of sink is implied, if those transitions are included in the ITE.

Cores can comprise multiple clock domains. The at-speed inter-clock domain test (ICDT) of multiple clock domains are performed the same way as the ICT, if the translation layer is incorporated between source and sink clock domains. Since both the ICT and the ICDT are essentially the same test, the ICT method discussed in the scheme are equally applied to the ICDT.

Both source and sink can interact with multiple sinks and sources, respectively. With an aid of the ATPG and the test points that can block unwanted transitions discussed earlier, synchronization of transitions are achieved in composition of test patterns. The ATPG, for example, are constrained to generate test patterns that contain maximum of one transition in the OTE and the ITE. Those transitions are synchronized in the test pattern composition by translation of output transitions of source from the OTE to match the required input transitions of sink specified in the ITE. Alternatively, the ATPG of source can generate optimal test patterns for test coverage that contain more than one transitions in the OTE. The test points can block unwanted transitions at the output of source for synchronization. The control points can only active during the inter-core test. The control value for the test points are don't-care, if the output does not produce a transition. Since practical applications of the ICT, however, can involve a single source and a single sink in each at-speed transition test among the interacting cores, the scheme assumes a single source and a single sink for the purpose of discussion. Multiple ICT and ICDT are scheduled in each test pattern or in the test sequence. The ATPG are constrained to generate maximum of one transition in the OTE of source and in the ITE of sink for each ICT test in the test sequence.

Composition of inter-core test patterns are efficiently managed by employment of a channel test environment. The channel test environment are the OTE of source and the ITE of sink with respect to the channel that source and sink communicate. The ITE of sink y, for example, are partitioned with respect to channels that are connected to each source x, i.e. A(x:0≤x≤X:ITE_(x,y)). Similarly, the OTE of source x are partitioned with respect to the channels that are connected to each sink, or A(y:0<y≤Y:OTE_(x,y)). The translation layer are applied to resolve communication conflicts between the OTE_(x,y) and the ITE_(x,y) for all x and y. The channel test environment can allow flexible construction of the test environment in various test applications.

The transitions that are propagated from source to sink through their IO logic can determine at-speed test coverage. Those transition are obtained by matching the transitions in A(x:0<x≤X:OTE_(x,y)) with those in A(x:0≤x≤Y:ITE_(x,y)). For preservation of test coverage, the ITE_(x,y) is required to be satisfied by corresponding T(OTE_(x,y)) for all x and vice versa for all y. Since any static values and polarity of transitions are satisfied by the translation layer T, composition of test patterns for inter-core test patterns are amounted to synchronization of transitions in the T(OTE_(x,y)) and the ITE_(x,y). For unequal number of test patterns in the OTE and the ITE, test patterns of the smaller test environment are expanded to match the larger by duplication of exiting test patterns and addition of new test patterns. If additional test patterns are required for synchronization of transitions, for example, the channel test environment of the counterpart are used as the ATPG constraint for generation of additional test patterns.

The translation layer can allow to focus on presence of transitions and not their polarities in the ITE and the OTE. A set of test patterns that include transitions in the OTE and the ITE, denoted by tr(OTE) and tr(ITE) respectively, are defined as tr(OTE)={(#TP#,LO,TO)|one(LO⊕TO)≥1,(#TP#,LO,TO)∈OTE}  Eq. 20 tr(ITE)={(#TP#,LI,TI)|one(LI⊕TI)≥1,(#TP#,LI,TI)∈ITE}  Eq. 21 where one(x) denotes a function that returns a number of ones in x and where ⊕ is a bitwise XOR of two n-bit vectors, where n≥1.

A single transition test pattern in the ITE and the OTE, denoted by sgtr(ITE) and sgtr(OTE), are defined as a test pattern that satisfies one(LI⊕TI)=1 and one(LO⊕TO)=1, respectively. The signal transition test patterns are generated by ATPG tools. Or, the sgtr(OTE) are obtained with an aid of the control points discussed earlier. If the sgtr(OTE_(x,y)) can provide a transition for each output of source, it can provide any transition required by the sgtr(ITE_(x,y)). With an aid of the translation layer, the sgtr(OTE) can satisfy the ITE and hence, test coverage of sink input logic are preserved. Similarly, if the sgtr(ITE_(x,y)) can propagate any transition of the sgtr(OTE_(x,y)) provided in the input of sink, test coverage of source output logic are preserved. Therefore, if the ATPG can produce the sgtr(OTE_(x,y)) and the sgtr(ITE_(x,y)) that contains transitions for each output and input respectively, they are repeatedly applied to test all of transitions in the OTE_(x,y) and the ITE_(x,y) for all x and y.

In composition of test patterns, it may be beneficial to identify which transition in the OTE can provide or satisfy required transition in the ITE. Transition satisfiability relation R_(x,y) are defined for all transitions included in the OTE and the ITE respectively as R _(x,y) =A (i,j:0≤i<size(OTE_(x)),0≤j<size(ITE_(y)),one(x.LO[i]⊕x.TO[i])≥1,one(y.LI[j]⊕y.TI[j])≥1,(x.LO[i]⊕x.TO[i])⊕(y.LI[j]⊕y.TI[j])=0:(x.#TP#,y.#TP#)), where y.LI[j]=T(x.LO[i]) and y.TI[j]=T(x.TO[i]) The relation R_(x,y) can specify synchronization relation of test patterns. It can prescribe which test patterns in the OTE of source and the ITE of sink to be applied for the testing of both the output logic of source and the input logic of sink. There are multiple test patterns of one test environment that can satisfy a test pattern of another. Each test pattern, however, are enumerated with the test pattern number and are distinct. Composition of test patterns must preserve all test patterns in the test environments of both source and sink to preserve test coverage. In other words, the test patterns in the OTE and ITE are duplicated to equalize the pattern counts but never removed.

Composition of the at-speed test patterns for the ICT are amount to computation of the transition satisfiability relation R_(x,y).

Composition of test patterns for the inter-core test are summarized as follows:

1. Generate at-speed test patterns of all cores and their test environments in parallel

-   -   1. From a given IODG, for each y and for all its source x and         sink z that are scheduled for the ICT or the ICDT test with y     -   2. Compute sgtr(ITE_(x,y)) for inter-core test from x to y     -   3. Compute sgtr(OTE_(y,z)) for inter-core test from y to z         2. Communicate ITE_(x,y) and OTE_(x,y) to source and sink of y,         respectively     -   1. Send sgtr(ITE_(x,y)) to and receive sgtr(OTE_(x,y)) from core         x     -   2. Send sgtr(OTE_(y,z)) to and receive sgtr(ITE_(y,z)) from core         z         3. Compute transition satisfiability relation R_(x,y) for all x         and y         4. For each sink y, compute translation vectors from output of         source x,     -   1. TV_(x,y)=A(i,j:0≤i<size(OTE_(x,y)), 0≤j<size(ITE_(x,y)),         (x.i, y.j)∈R_(x,y): TV_(x,y)[x.i, y.j]=x.TO[i]⊕y.LI[j])         In step 1, the ATPG of all cores and their ITE and OTE are         performed in parallel. The test patterns are generated in the         expanded format that contain the ITE and the OTE. The ITE and         the OTE are obtained from the generated test patterns. The ITE         and the OTE are interpreted as input controllability and output         observability requirements of the core test y, respectively. The         test patterns that contain a single transition in its channel         environments, or the sgtr(ITE_(x,y)) and the sgtr(OTE_(y,z)),         are generated in step 1 based on the assumption that the         generated test patterns can satisfy the sgtr(OTE_(x)),         sgtr(ITE_(y)), sgtr(OTE_(y)) and the sgtr(ITE_(z)). The         sgtr(ITE_(x,y)) and the sgtr(OTE_(x,y)) focus on transitions         that contribute to test coverage. The sgtr(ITE_(x,y)) and the         sgtr(ITE_(y,z)) are communicated to source x and sink z for         inter-core test, respectively in step 2. The transition         satisfiability relation is defined to synchronize the test         patterns of source and sink for composition of test patterns.         The synchronized test patterns are indicated by the         satisfiability relation R_(x,y). The satisfiability relation         R_(x,y) is computed in step 3. Finally, the translation vectors         of the transition test patterns are calculated in step 4. The         x.TO[i] in calculation of the TV_(x,y)[j] is the output of         source x after launch.

In some test applications, the composed inter-core test patterns may need to be supplemented with additional test patterns to recover the original test coverage implied in the ITE and the OTE of each core. Note that the ITE and the OTE can specify the input and output conditions that can achieve maximum test coverage of the input logic and the output, respectively. In other test applications, the inter-core test patterns are preferably generation based and not composition based. Generation of the inter-core test patterns are performed in parallel using the ITE and the OTE of each core.

Generation of the inter-core test patterns are summarized as follows:

5. U_(x,y)=OTE_(x,y)∪ITE_(x,y); otpn=size(OTE_(x)); itpn=size(ITE_(y));

-   -   while U_(x,y)≠Ø) begin         -   p=u, u∈U_(x,y);         -   k=tp_num(p);         -   if (p∈OTE_(x,y)) & (one(x.LO[k]⊕x.TO[k])≥1) & ((x.k,             _)∉R_(x,y))             -   Generate test pattern of y with the tp#=itpn such that             -   one((x.LO[k]⊕x.TO[k])⊕(y.LI[itpn]⊕y.TI[itpn]))=0;             -   if (generation of ITE[itpn] successful)                 R_(x,y)=R_(x,y)∪{(x.k, y.itpn)};                 -   ITE_(y)=ITE_(y)∪{ITE_(y)[itpn]};                 -   itpn=itpn+1; fi         -   fi             -   else if (p∈ITE_(x,y)) & (one(y.LI[k]⊕y.TI[k])≥1) & ((_,                 y.k)∉R_(x,y))                 -   Generate source test pattern of x with the #TP#=otpn                     such that             -   one((x.LO[otpn]⊕x.TO[otpn])⊕(y.LI[k]⊕y.TI[k]))=0;             -   if (generation of OTE[otpn] successful)                 R_(x,y)=R_(x,y)∪{(x.otpn, y.k)};                 -   OTE_(x)=OTE_(x)∪{OTE_(x)[otpn] };                 -   otpn=otpn+1; fi             -   fi             -   U_(x,y)=U_(x,y)−u;         -   end             6. For each sink y, compute translation vectors from output             of source x,     -   1. TV_(x,y)=A(i,j:size(OTE_(x,y))≤i<otpn,         size(ITE_(x,y))≤j<itpn,(x.i,y.j)∈R_(x,y):TV_(x,y)[x.i,y,j]=x.TO[i]⊕y.LI[j])

Generation of test patterns after composition of test patterns are attempted to recover original inter-core test coverage of source and sink in step 5. The test pattern number function, denoted as tp_num(p), can return test pattern number of test pattern p. A number of test patterns of the OTE and the ITE are denoted as the otpn and itpn, respectively. The test pattern p=u, u∈U_(x,y) denotes an element of test environment selected from union of test environments, denoted as U_(x,y). If the p=u∈OTE_(x,y) and contains the transition that cannot be synchronized in the ITE_(x,y), denoted as (x.k, _)∉R_(x,y), then the ITE_(y) are expanded in the if statement to include the test pattern that can propagate transition in the p, if possible. Similarly, the OTE_(x) are expanded in the else if statement, if the transition in the p∈ITE_(x,y) cannot be provided from the OTE_(x,y), denoted as, (_, y.k)∉R_(x,y). After the inter-core test pattern generation, the translation vectors for the additional test patterns are computed similarly and added to the TV_(x,y) in step 6.

Structural At-Speed Testing of Memory Shadow Logic

Function of memories is to store values for future use. Its fundamental operations can include writing data to and reading it from memories. Memories are considered as multi-dimensional arrays in which any location are accessed by address. Operations of memories are implemented in logic gates that can form a memory interface logic. The memory interface logic is often called a shadow logic of memories or a shadow logic in short.

Modern IC devices are equipped with many embedded memories but their shadow logic is seldom tested at-speed. As a consequence, it are difficult to confirm performance aspect of memories and their interface within system.

The aforementioned translation layer and the test environment are applied to the testing of the shadow logic.

An overview of DFT architecture is shown in FIG. 9. The test control logic (TCL) can provide test access to the circuit under test. Basic idea is to transform the memory shadow logic test into the conventional structural test by considering memory as a randomly accessible 2-stage pipelined registers which are accessed in any order. The consecutive test results of the shadow output logic are written into random memory locations. They are read back in any order to test the shadow input logic. The TL are applied to recovery of the write memory addresses from randomly generated read addresses.

RAM are considered as a test environment of random logic as shown in FIG. 10. For write and read operations, memories can viewed as the output test environment (OTE) of shadow logic and the input (ITE), respectively. Test patterns that are written into memories during write mode for the testing of output shadow logic are applied to test input shadow logic during read mode.

An example of ATPG model of memory for shadow logic test is shown in FIG. 11. The address are decoded into a memory location. The selected memory cell represented by the register are enabled when the write is enabled or the W=1. The memory cell can retain current data when disabled. The input data (DI) is stored into the register by the address decoder. The stored data are retrieved when read is enable or the R=1. The output is provide the data output (DO) through the multiplexor. The DO is assumed to produce the previous read data during the write.

Multi-port memories are viewed as multiple copies of single port for shadow logic test.

Initialization of memory content is not assumed in the scheme.

The test protocol are expressed as (W*→R*)*, where * denotes any number of repetitions. In general, read-after-write test protocols are applied to the testing of shadow logic. The memory write operation can ensure that the test data to be read by the read operation is defined. Each write can store a data to the same or different address. The test protocols for transition test of read-write logic are (W→R)^(N) and of data and address logics (W^(N)→R^(M)), where M>0 and N≥M. In the scheme, the following assumptions the write and the read control signals are assumed to be complement to each other. Examples of read-after-write test protocols are

7. W→R, denoted as one read after write (1-RAW)

8. W→R→W→R, denoted as read after write (RAW).

9. W→W→R→(R|W), denoted as read after multiple writes (RAMW) where | denotes choice or OR. A special case of the RAMW are W→W→R→R, denoted as two reads after two write (2RA2 W)

The 1-RAW test protocol is a subsequence of the RAW and are applied to a dynamic testing of the write logic and the read. If the write logic and the read can produce any pair of complementary logic values or transitions, the TL can translate them into the 1-RAW test protocol signal. The test result is obtained by reading the data from the same address to which the data is written.

Since the testing of address logic and data can require more than one write and read, the RAW and 2RA2W test protocols are employed to describe the shadow logic testing. Timing diagram of the two test protocols are shown in FIG. 12.

The RAW test can detect dynamic faults associated with read (R), write (W). Write followed by read from the same memory location can detect dynamic faults on the read logic. Read followed by write followed by read, or (R→W→R), can detect dynamic faults on the write logic and the read.

The 2RA2W test can detect dynamic faults associated address, data in (DI) and data out (DO). Writing two consecutive random data into two random addresses and reading back from the same memory locations can test dynamic faults on address logic and data logic.

Two tests can involve two random addresses and input data. Write (W), read (R), address (A) and input data for the test are randomly generated from ATPG. The memory read-write test are obtained by translating random data into the required using the translation layer.

The translation layer are determined for randomly generated write, read and addresses for the test. The write and read can require the W=(1, 0, 1, 0, 1) and the R=(0, 1, 0, 1, 0) for the RAW test protocol and the W=(1, 1, 0, 0, 1) and the R=(0, 0, 1, 1, 0) for the 2RA2W. The last write is to allow the DO to be stable so that the launched transition from the DO are captured into the system logic.

The ATPG can provide a sequential random vectors for the W and the R, denoted as W′=(W′(0), W′(1), W′(2), W′(3), W′(4)) and R′=(R′(0), R′(1), R′(2), R′(3), R′(4)), respectively, where the W′(t) and the R′(t) denote the output of write logic and the read at the t-th clock cycle. The translation layer are determined from the required and the ATPG provided random vectors as W _(TL) =W⊕W′ and R _(TL) =R⊕R′ where W⊕W′ and R⊕R′ denote bit-wise XOR operation. The translation can ensure that transitions generated from the circuit under test are maintained or preserved in the test patterns. The translation layer can inject transitions only when no transitions is present. Similarly, the translation vector of the addresses, denoted as A^(TL), are determined as (0,A ^(TL) ₁,0,A ^(TL) ₃)=(0,A ^(W) ₀ ⊕A ^(R) ₁,0,A ^(W) ₂ ⊕A ^(R) ₃) for RAW  Eq. 22 (0,0,A ^(TL) ₂ ,A ^(TL) ₃)=(0,0,A ^(W) ₀ ⊕A ^(R) ₂ ,A ^(W) ₁ ⊕A ^(R) ₃) for 2RA2W  Eq. 23 where the A^(W) _(t) and A^(R) _(t) denote the randomly generated addresses of write and read in t-th clock cycle from the ATPG, respectively. Note that the address for the last write to keep the DO stable are unnecessary or don't-care and is not explicitly shown. Since the data are read back from the same memory location that the data is written to, the write addresses are random and the translation of the addresses for write is unnecessary. The translation layer function T(A^(R) _(i)) can recover the write address from the randomly generated read addresses. The recovery of the write address from the read are summarized as

$\begin{matrix} {A_{t}^{R} = {T\left( A_{t}^{R} \right)}} \\ {= {A_{t}^{TL} \oplus A_{t}^{R}}} \\ {= {\left( {A_{t}^{W} \oplus A_{t}^{R}} \right) \oplus A_{t}^{R}}} \\ {= A_{t}^{W}} \end{matrix}$

The data DI_(t) and DI_(t+1) are written to the A^(W) _(t) and A^(W) _(t+1) when W=1 and R=0. The translation layer can allow the stored data to be retrieved from the same addresses and observed at the DO when W=0 and R=1.

The sequences of (A, W/R, DI, DO) in the RAW and the 2RA2W are as follows:

RAW: (A₀, 1/0, DI₀, x)₀→(A₀, 0/1, x, DI₀)₁→(A₁, 1/0, DI₂, DI₀)₂→(A₁, 0/1, x, DI₂)₃.

2RA2W: (A₀, 1/0, DI₀, x)₀→(A₁, 1/0, DI₁, x)₁→(A₀, 0/1, x, DI₁)₂→(A₁, 0/1, x, DI₀)₃

Dynamic faults of the write logic and the read are detected by the following transitions.

1. RAW: (R, DI₀)→(W, DI₁)→(R, DI₁)

2. 2RA2 W: (W, DI₁)→(R, DI₁)

The write and the read are paired with the DI and the DO, or (W, DI) and (R, DO), respectively. The (R, DO=DI_(k)) and (W, DI=DI_(k)), or simply (R, DI_(k)) and (W, DI_(k)), denote reading of data DI_(k) at the memory output DO and writing of data DI_(k) into a memory through the memory input DI.

Test control logic (TCL) are programmed to implement the shadow logic test. The test patterns of shadow logic are enabled when the TM=1 and MTM=0. The MTM (memory test mode) can enable a memory BIST (MBIST) test, when the MTM=1.

An address translation layer control logic is shown in FIG. 13. The address translation control logic can translate the input address A_(I) to the output address A. If the R=0, the translation are disabled. The two translation vector registers of size(A_(I)) bits are disabled and the translation vector g(x)=0. Hence, the output address A are the same as the input A_(I). or the A=A_(I). Otherwise, the address A=A_(I)⊕g(x), where the g(x) contains the translation vector for address the data to be written. The tv₀ and the tv₁ denote registers that contain the translation vectors of size(A_(I)) for the first and the second addresses from which the output data are obtained.

Test control logic of the write (read) is shown in FIG. 14. Similarly, the translation vector registers are of a single bit in case of the read logic and the write. The required translation vectors are provided in a circular shift register. The five-bit translation vectors are calculated from the five-bit randomly generated write and read in the ATPG. The corresponding five bit sequential values to implement the RAW and 2RA2W test protocols are provided in Table 5.

TABLE 5 RAW 2RA2W Write 1 → 0 → 1 → 0 → 1 1 → 1 → 0 → 0 → 1 Read 0 → 1 → 0 → 1 → 0 0 → 0 → 1 → 1 → 0

Let (t: 0≤t≤4: w(t)) and (t: 0≤t≤4: r(t)) be translation vectors for the write and read, respectively. The symbol t denotes a t-th clock period. The translation vectors are specified as

1. RAW: (¬W_(I)(0), W_(I)(1), ¬W_(I)(2), W_(I)(3), ¬W_(I)(4)) and (R_(I)(0), ¬R_(I)(1), R_(I)(2), ¬R_(I)(3), R_(I)(4))

2. 2RA2W: (¬W_(I)(0), ¬W_(I)(1), W_(I)(2), W_(I)(3), ¬W_(I)(4)) and (R_(I)(0), ¬R_(I)(1), R_(I)(2), ¬R_(I)(3), R_(I)(2))

where the symbol ¬ denotes logical negation or NOT operator and the W_(I)(t) and R_(I)(t) denote the outputs of the write and the read logics at t-th clock period, respectively.

The (t: 0≤t≤4: w(t) or r(t)) are obtained from sequential ATPG of depth 4.

The rising transition of the write, denoted as W↑, are tested in presence of falling transition of the read, denoted as R↓, by showing that memories are written within a cycle.

Similarly, the R↑ are tested in presence of the W↓ by showing that memories are read within a cycle.

Sequential ATPG burden are mitigated by reducing a size of circuit under test for the ATPG. Circuit under test are limited, partitioned or abstracted for the shadow logic test.

Test procedure of shadow logic are summarized as:

1. Generate structural test patterns of the required sequential depth for targeted shadow logic without considering memory operations.

-   -   a. The sequential depth, for example, are four for the RAW and         the 2RA2W.     -   b. Determine or compute translation vectors (t: 0≤t≤4: w(t)) and         (t: 0≤t≤4: r(t)) in each sequential depth from a state of shadow         logic for a targeted test.         2. Load translation vectors during scan load/unload.         3. Execute the test.         4. Observe the test result captured in output data logic for         test decision.         5. Repeat steps 3-4 until all test patterns are exercised.

The test control logic are extended for logic built-in self-test (LBIST). In the LBIST scheme, the test are performed during the write, or W=1 and R=0, and the test result are observed during the read, or W=0 and R=1. The test control logic of the address logic shown in FIG. 15, the addresses of which data are written are saved in the circular shift register during the write and used for read. The write and read signal are directly provided from the test control logic of the write and read logics, as shown in FIG. 16.

Test Sequence Specification (TSS)

Aim of test sequence specification (TSS) is to specify order of test execution to achieve 100% test pattern utilization. An ordered core tests is called a test sequence (TS). The TSS can specify a set of test sequences that are carried out continuously until all of the specified tests are completed. The TSS are realized by test sequencer (TSR). Test sequencer implement or executes all possible test sequences specified in the TSS. The test sequencer can interact with cores to implement the specified test sequence. The TSR can enable multiple core tests that are performed in parallel to reduce test time. Which test sequence to be performed are programmed into the TSR. With an aid of the translation layer, test sequencer can provide test sequences that can achieve 100% test pattern utilization.

A test is a process which can contain a test procedure. Test procedure are encapsulated in Begin (B) and End (E), as shown in FIG. 17. Test process are expressed as Test_Proc=B→Test_Procedure→E. Test procedure can specify a detailed description of the test. Test process, for example, can include power-on sequence as a part of the test. Test procedure are initiated when Begin signal is received and terminated when test procedure is completed. Completion of test procedure is indicated by End. End can trigger Begin of other test processes. For example, test process of structural at-speed core test, denoted as Proc0, are specified as Proc0=B→Launch→Capture→E. Test process are vacuous, if test procedure is disabled or no test procedure specified in test process. In the vacuous test process, Begin can directly cause End. The vacuous test process is denoted as T_(Ø)=B→skip→E.

The test procedure can synchronize with the TSR through Begin and End. The test procedure are initiated when Begin is asserted and can assert End when the test procedure is completed. The built-in self-test (BIST) schemes commonly have a BIST-go mechanism to initiate the BIST test engine and a BIST-done to indicate the end of the test. For example, memory BIST process, or MBIST, are expressed as MBIST=B→MBIST_proc→E MBIST_proc=BIST_go→MBIST_test→BIST_done The BIST_go and BIST_done signals can coincide with the Begin and End.

Test processes are composed with respect to Begin and End. As example shown in FIG. 18, test schedule of various tests with respect to their test time and constraint are specified in test processes. Test process can enclose a test procedure and enable any core test can interact with the test sequencer via a handshake protocol. Beginning of the test are triggered by the test sequencer and end of the test are provided to the test sequencer. Any test that does not conform to the handshake protocol are transformed into the one that can by adaption of a timer. The timer can keep track of beginning to end. The time are enabled when the test starts and produce the done signal when time-out is reached.

Test processes, as example shown in FIG. 19, are composed to form a more sophisticated test process. The composed test process are specified as Test_(C)=(Test₀∥Test₁); Test₂; (Test₃∥Test₄), where the symbols ∥ and ; denote parallel and sequential compositions, respectively. Composition of test processes are achieved via synchronization of Begin and End. For sequential composition of the test processes Proc1 and Proc2, or Proc1;Proc2, End of Proc1 are synchronized to Begin of Proc2. Hence, Begin of Proc2 are triggered by End of Proc1. Parallel composition of Proc1 and Proc2, or Proc1∥Proc2, are achieved by synchronization of Begins and Ends of both Proc1 and Proc2.

Synchronization of Begins are achieved by a fork that can spawn multiple Begins from a single Begin, with an assumption that delay difference between branches are negligible within a clock period under consideration. Synchronization of the End events, as shown in FIG. 19, are implemented by joining multiple Ends with logical AND (∧) or OR (∨). If AND or OR are employed in synchronization of the Ends, the synchronized End of the composed test process are dependent on the latest or the earliest End asserted by one of joined test processes, respectively. In the example, the latest or earliest arrival of End of Test₃ or Test4 can determine End of the composed test process, if the ∧ or ∨ were employed, respectively. Communication or synchronization among the parallel test processes be achieved through channel. Any input or output action on the same channel in test procedure can result in communication or synchronization.

Logical negation of Begin, denoted as ¬Begin, are introduced to specify initial test processes in test sequence. Initial test process are defined as the first test to be performed in test sequence. ¬Begin are asserted in the initial test process to start test execution when test sequencer is enabled. There are multiple initial test processes in composed test process. Similarly, logical negation of End, or ¬End, are introduced to alter or reconfigure synchronization constraint of End. Assertion of ¬End can nullify synchronization of END in a composed test process. In parallel composition, for example, ¬End can disable corresponding synchronization constraint in the parallel End so that END of the corresponding test process needs not be considered. A set of all configuration of ¬Begin and ¬End specified in the test TSS is denoted as a configuration of test sequencer. The test sequencer configuration can determine test sequences to be carried out by the test sequencer.

Both ¬Begin and ¬End are implemented by XOR logic or OR depending on test applications. Using XOR, for example, the new Begin are expressed as Begin⊕NOT, where NOT denotes control input for inversion. If NOT=1, for example, Begin are inverted, or ¬Begin, and otherwise, Begin are unchanged. NOT are set to logic 1 in initial test processes. XOR implementation of ¬Begin and ¬End, however, can lead to the dynamic test sequencer configuration which are unnecessary for structural tests. Implementation of ¬Begin and ¬End using the XOR logic, for example, can allow them to change after test execution when Begin and End change. Thus, OR implementation of ¬Begin and ¬End is employed for the structural tests to maintain the static test sequencer configuration that doesn't change the signal states of ¬Begin and ¬End during the test.

For structural tests, each test process can represent the test of each core or clock domain. The test processes with no interference or no communication constraints are assumed in parallel composition. Non-interfering test process are obtained from commonly known graph coloring methods. In graph coloring methods, non-interfering test processes can correspond to nodes that are assigned with the same color.

System test are represented by composed test process that are specified by the TSS. Test sequencer are configured to provide specified test sequences. Test sequencer can initiate initial test processes and continue execution of test sequence until completion. Test sequencer, as example shown in FIG. 20A, are obtained from the composed test processes by addition of the test sequencer configuration and a feedback from End to Begin. The feedback combined with the test sequencer configuration can increase a number of test sequences that it can implement. ¬Begin and ¬End are marked with filled dots on the top of B and E, respectively.

The test sequencer configuration comprise selection of initial test processes and reconfiguration of End constraints. A set of specified initial test processes can select a test sequence from a set of all possible test sequences. Example of the test sequence selected by the set of initial tests {Test₀, Test₃} and reconfiguration in {Test₄} is shown in FIG. 20B. Note that the synchronization constraint denoted as sc₀′ is reconfigured by End of Test₄. A set of test sequences enabled in the test sequencer, denoted as TSEQ, are

TSEQ=(Test₀∥(Test₃; Test₁)); Test₂; Test₄

When the test sequencer is enabled, Test₀ Test₃ are initiated in parallel. Test₁ has to wait for completion of Test₃. Test₂ are initiated after Test₁ and Test₀. Completion of Test2 can cause initiation of Test₄ which can terminate the TSEQ at its completion. Note that TSEQ are a set of test sequences that produce the same outcome. Choice of which test sequence to be performed is up to system under test.

The test process wrapper that can allow implementation of test process from test procedure is shown in FIG. 21. Test process wrapper (TPW) can provide test interface between test sequencer and core test procedure. The TPW can manage synchronization between test sequencer and core test. It can also provide a programming interface for the test sequencer configuration. The test sequencer configuration are programmed in the storage cells marked as ¬BEGIN and ¬END. The TPW are enabled or reset when the test sequencer enable (TSE) signal is asserted or reset to logic 0, respectively. The TSE can enable synchronization ports, Begin and End, so that core test are administered by test sequencer. The TPW are synchronized external clock, denoted as TCK, and core test with system clock. The TPW can encapsulate the test procedure with the Begin-End interface logic. The test sequencer can asynchronously interact with the cores through their Begin-End interface logic for test execution. The Begin-End interface logic can provide a start signal to initiate a test based on Begin received from test sequencer or asserted from ¬BEGIN. The done signal received from core after completion of test are sent to test sequencer for continued execution of core tests. End are provided to test sequencer based on the done signal or ¬END. A timer are incorporated into the TPW for generation of the done signal or end of test procedure for the cores that are not equipped to indicate completion of test. The timer are bypassed with a wire or a shift register for desired latency. The bypass wire or shift register can isolate core during the testing of the TPW. When the TPW is enabled or the TSE=1, the Begin (B) or its negation are propagated to initiate test procedure and the timer. At the end of the test procedure or the time-out, the done signal are generated to indicate completion of the test.

The test process wrapper can contain storage cells or flip-flops to implement the test control. Some registers can contain control information which are unchanged throughout the test. Such registers are called non-volatile storage cells and denoted as D_(Cj) for 0≤j≤4. Functional view of non-volatile storage cell is shown in FIG. 22. Non-volatile storage cell are programmed when the programming enable (PE) signal is asserted and can remain unchanged when the PE=0. Non-volatile storage cells are initialized for test execution in the beginning of the test via the scan load/unload. In such case, the PE are provided from the scan enable (SE). All storage cells except the non-volatile cells are reset when the TSE=0.

Initial value of ¬BEGIN are programmed in the D_(C0) for initial test processes. When the TSE=1, the Begin from the test sequencer or the assigned value of ¬BEGIN can enable the start signal for both core test procedure and timer. The start signal are captured into the storage element D₀ and remain unchanged until the TSE=0. The OR logic is used to combine Begin with ¬BEGIN, as discussed earlier. The start signal are provided to core and timer from output of the D₀. When the D₀=1, the core test and the timer are enabled by the start signal. After test execution, the done signal are provided to the TPW by the core or the timer depending on content of the D_(C1). The vacuous test are implemented by the core bypass or through the timer by specifying zero time or longer latency. If the vacuous test process to be implemented, for example, the D_(C1) can determine a source of the done signal. If timer were not incorporated, the done signal of vacuous test are generated from the bypass wire or shift register mentioned earlier.

Similarly, the storage cell D_(C2) are programmed to delay propagation or generation of the done signal, respectively. The D_(C2) can hold the done signal until Begin is asserted. The done signal of initial test process, for example, are held until the Begin signal is asserted at the input of the test process. Delay of the done can offer test control flexibility to avoid interference in test execution of the parallel test processes. The storage cell D₁ can introduce extra delay to capture input of the translation layer after completion of the test. The introduced extra delay can aid to preserve test coverage of the cores that provide input to core under test, as mentioned previously. The D_(C3) can provide the control input to assert ¬END for the test process. The ¬END can also be employed in flow control or used to disable synchronization constraint in the parallel composition of test processes.

For the core test to interact with the test sequencer through the Begin-End interface, the start and done are incorporated into or extract from the core test hardware. Built-in self-test (BIST) test hardware, for example, is often equipped with a BIST run and BIST done which are used as the start signal and done, respectively. For the most commonly used test clock controller employed in the structural tests, the start signal are taken from the signal that enables the controller and the done from the final state of the controller after the test is completed. The scan enable (SE), for example, is commonly used to enable the clock controller for test and zero state of the controller to indicate the done.

Cores or clock domains can interact within a test process. Examples of such tests are inter-core and inter-clock domain tests. In those tests, transitions launched from one core or clock domain are required to be captured by others within a specified time interval. In other word, synchronization of launch and capture are required for the inter-core or inter-clock domain test to function. Since their synchronization requirement is similar, the synchronization method is discussed in context of the inter-clock domain test. The synchronization scheme for inter-clock domain tests is shown in FIG. 22. The capture domain can first setup prepares for capture prior to synchronization. When the capture domain is ready for capture, it can initiate synchronization by sending ready-for-test signal to the launch clock domain. If the launch domain detects the ready-for-test signal, it can launch the transition and, at the same time, send the launched signal to the capture domain to enable execution of capture. The launched signal that is synchronized with the capture domain can cause capture of test response which are used for test decision. Without loss of generality, each clock domain test also is a test process. The inter-clock domain test (ICDT) and the launch domain (LD) signals are decoded from test mode. When both the launch and capture test processes are started regardless of the order, the launch test process can wait until the ready signal from the capture process is asserted. The ready signal can enable the LE (launch enable) and allow initiation of launch test by passing the start signal. The start signal can enable launch of transition and generate the “launched” signal from the LD signal. The start signal are asynchronous to the launch clock domain. The launched signal can propagated to the capture domain and enable generation of capture clock which are produced from on-chip test clock controller. The launched signal is assumed to be synchronous to the capture domain. The assumption are justified in context of the target test.

Test Distribution Network (TDN)

Aim of the test distribution network (TDN) is to provide a fast and a flexible test data delivery scheme that requires a low peak power. The TDN together with the test sequencer can form the DFT scheme. The test data are delivered via the TDN and the test execution are carried out autonomously by the test sequencer according to the specified test sequence.

The DFT scheme can optimize a peak power, test control scheme and test hardware resource. The TDN can ensure that no two cores are engaging in scan shift at the same time. Thus, the peak power are limited to the peak power of a core. The TDN can locally infer the scan enable (SE) and the scan clock for each core. There is no need to explicitly provide the global SE and the scan clock for all cores. The duplex scan IO scheme can also provide an increased number of scan IOs for advanced DFT techniques such as a test compression. The increased number of scan IOs, for example, can boost a test compression ratio that can reduce test cost in terms of test time and test data volume.

The TDN can comprise the interconnected test distribution elements (TDEs). The TDE can also provide a modular test interface for a sub-chip or a core. The linearly connected TDEs is employed to describe the method in this document. The linear array are one of the simplest form in terms of management of test control and test resource. A different routing topology such as tree, however, are employed to provide a different set of benefits at an expanse of hardware resource and test control. The TDN including the TDE are configured prior to the test.

The example shown in FIG. 23 illustrates the TDEs interconnected in a linear fashion. The TDE can function as an interface in which a sub-chip or a core are plugged. The TDE can provide local test control signals that are required to execute the structural tests. The TDE can interact with the core under test based on the test protocol signals and does not require insertion of extra test hardware in the core. The method can uniformly provide test service to both internal and external IPs. Inclusion or exclusion of any core are managed by the TDE for test delivery and does not affect system test function that the TDN can implement. The system test can function even if some of cores are unavailable for verification or excluded in silicon debug or manufacturing test.

The translation layer (TL) discussed previously are introduced in the core or outside between the TDE and the core. The scheme assumes that the translation layers are incorporated outside of the core for the purpose of discussion. As shown in FIGS. 23A and 23B, the scan chains of the translation layers are appended to the core scan chains. The translation layers can provide the test environment for cores under test when other cores are unavailable or excluded from the test. Outputs of turned-off cores are fixed to a predefined value, called an off-value. The off-value of core are any constrained logic value discussed in FIG. 3A or 3B or the output value in reset state. The off-value of source can allow input of sink to be provided from the TL during test execution of the sink. Alternatively, the enabled core inputs are similarly blocked as the blocked output and the test input are provided from the TL. The output of the enabled core are observed via the observability register mentioned previously. Since introduction of the off-value through the functional reset state are least intrusive with respect system performance, the off-value from a reset state is assumed in the scheme. The test reset signal are locally provided by the TDE. When the test reset is asserted, the output of the corresponding core is assumed to be determined.

The TDN combined with the test sequencer introduced earlier can form the test platform for the system under test. The TDN and the test sequencer can engage in the test data delivery and test execution, respectively. The TDN can communicate end of test data delivery to the test sequencer for synchronization of test execution.

The TDN are configured into a dedicated IO or a half-duplexed as shown in FIGS. 23A and 23B, respectively. The half-duplex IO can engage in either input or output and not both at the same time. The half-duplex IO can double the number of available IO for test delivery and are utilized in various DFT techniques to reduce test data volume and test time.

The method can allow test patterns to be delivered only to the cores under test. That is, test patterns do not need to include filler test data for the turned-off cores or for the cores that are not participating in the test. The test data distribution protocol can allow test data to be delivered only to those cores that are enabled for the test. If, for example, any six out of ten cores are excluded for test, a stream of the test data sent via the TDN can contain the test data for those six cores without filler test data for the excluded cores.

Test distribution element (TDE) is shown in FIG. 24. The TDE can circulate test data tagged with a data enable (DE) signal. The DE can indicate whether the accompanying test data is valid test input or not. The DE can also function as a control bus from which test control sequences are provided for test data delivery and test execution. The control sequences are incorporated into the TDN test protocol which can comprise test data distribution protocol and test execution protocol. The test data distribution and the test execution protocols can specify how test data are to be distributed and how test should be initiated and ended, respectively. The TDN test protocol is discussed in detail later. The test data are received in the test data input (TDI). Data width of the TDN is denoted as the DW. There are multiple TDNs in the system under test, depending on partition of test delivery and test execution.

The received test data are delivered to the core or passed to the neighboring TDE through the TDO. Similarly, the corresponding DE are stored in the DE_(I) and DE_(O) storage cells, respectively. The TDE can provide scan protocol signals for each core. The scan protocol signals can include scan enable (SE), scan clock (SCK), scan input (SI) and scan output (SO). The SE and the SCK are local to each core. The local SE and SCK are inferred from the test distribution protocol provided from the DE within each TDE. The test sequencer enable (TSE) can also be inferred locally from the control sequence provided through the DE. The test sequencer can perform autonomous test execution of cores under test by handshaking through the Being and the End signals of each TDE according to the test sequence programmed in the test sequencer. Assertion of the TSE after end of test delivery in each TDE can enable the Begin and the initial test ¬Begin to cause the start signal to initiate the core test. The Begin signal are provided by the test sequencer and the initial marking ¬Begin are programmed in the TDE prior to test execution. The start signal are issued to the core from the TDE and the done signal are provided to the TDE from the core, when the test execution is completed. The done signal can cause the End signal to indicate completion of the core test. The End signal is provided to the test sequencer and can cause to initiate other outstanding tests. Note that the done signal can also be generated in the TDE by the timer, if the core is not equipped to provide it.

Test configuration signals are provided from the test configuration register. The test control signals can include test mode, on-off control of the core test, bypass, selection of test distribution method, scan IO configuration and an external sequential test mode. The configuration register are local and allow each core to implement a different test scenario or mode from the rest of the cores. Some of cores, for example, can engaged in stuck-at structural test while others in at-speed test.

The test mode are a multi-bit signal and specify type of test that the TDE is to service. The detailed configuration signals are provided from the test mode for selection of test, clock source, test compression and other necessary test control signals. Test mode, for example, can provide test configuration of at-speed inter-clock domain test using internal clocks with test compression.

The ON control is a single bit switch to enable or disable the core for the test delivery and test execution. If the ON control is reset (to logic 0) during test delivery, the TDE can disable the SCK of the core and hence, no test delivery are performed for the core. If the core were turned off during the test execution, the corresponding core test are vacuous. The start signal are bypassed to the done in the vacuous test execution. The ON control can assert the local test reset signal denoted as test reset, when it is turned off.

The output of turned-off core are fixed so that the input of its sink core are solely determined by the translation layer (TL). Since the output of turned-off core are forced to its off-value, the input of sink are directly provided from the TL. This can allow verification and testing of system under test to be performed regardless of exclusion and inclusion of any particular set of cores. The TL of the turned-off sink cores are used to capture the output of its source cores. The TL can provide efficient test access to the test and the silicon debug, regardless of cores are enabled or disabled.

The bypass (BP) can allow the test data to be bypassed from the TDI directly to the TDO. The BP can bypass both the TL and the core scan chains, when the BP=1. The bypassed core scan chains are turned on for the peak power test. They, for example, are turned on to increase the peak power or worsen test environment for other cores under test. The TDE is called enabled if the BP=0 and disabled, otherwise.

The test data delivery method are configured as a fair distribution (FD) method or a greedy distribution (GD). In the FD approach, test data are equally distributed to each core one test data at a time. In the GD, however, entire test data are delivered to a core before they are delivered to other cores. The GD is a prioritized distribution where priority are determined by the order that they appear in the TDN. The core with the highest priority, for example, are the first one that can receive the test data or the closest to primary input of test data in the TDN. The distribution method are specified in the GD control bit. The GD method and the FD are enabled if the GD=1 and 0, respectively.

The TDN are designed for high-speed to expedite test data delivery in the FD. The test data are delivered to the TDEs at a high speed. Transfer of the delivered test data from the TDEs to the cores, however, are performed at a slow speed. The test data transfer are performed at a frequency of f/M, where the f denotes a frequency of test clock at which the test data are moved through the TDN and the M a number of enabled cores in the linearly connected TDEs. The test data transfer are ordered in the same way to reduce the peak power. The input test data are consumed by the first core that receives it. The input test data tagged with the DE_(I)=1, denoted as valid test data, are provided to the TDI for consumption. The TDE can consume the valid test data to load scan chains that it is servicing. The valid test data are consumed only once and become invalid if consumed. When the test data is loaded into the scan chains, the TDE can unload the scan output to the TDO and reset the DE_(O) so that the scan output is not used by any other cores for scan input. The test response captured in the scan output are propagated to output of the TDN for test decision.

The scan IO are dedicated or half-duplexed. Separate scan input and output are employed in the dedicated scan IO configuration, whereas they are shared in the half-duplexed. The required scan configuration are specified in the DX control bit. If the DX=1, the half-duplex scan IO are configured and the input test data and the output are sent and received via the same scan IO pin, respectively.

The external sequential test (EST) can specify sequential test using external clock or the SCK. The EST are performed after test delivery and prior to the test execution by the test sequencer. Its purpose is to put the core into a required state before execution of the at-speed test. At the end of the EST, the TDE can output the end of EST, or EOEST. If the EST were scheduled for multiple cores, the EST are initiated when the end of EST (EOEST) is received from the TDE that was scheduled earlier. The received EOEST is denoted as a EOEST_(in). The EOEST are serially connected from one TDE to other. The order of the EST execution are according to the same order that they receive the input test data in the TDN.

The process wrapper are integrated into the TDE. The TDE can generate start signal for the core based on the Begin received from the test sequencer or the ¬Begin programmed in the TDE. Similarly, the TDE can provide the End to the test sequencer based on the done signal from the core or the timeout from the timer.

The TDN can also be structurally tested before the testing of the system. When the TDN_tm=1, as shown in FIG. 25, the DE can function as a scan enable for the testing of the TDN, denoted as SE_(TDN). The SE_(TDN)=1 during the test delivery. The input to the DE are provided from the storage cell D₀ through the multiplexor. The output of the multiplexor are observed at the same storage cell after capture. The TCK are provided as a test clock to all registers including the storage cells. The test setup which initializes internal control registers for test execution can concur with the last scan shift to observe the final test response of the TDN.

The TDN test mode are utilized for intermediate programming of the test control registers and the storage cells in the TDN. Since the TDN_tm can disable the scan clocks SCK and SCK_(TL), the structural test of system under test are paused and resumed after programming.

After the TDN test, the test control registers are programmed and structural testing of system, denoted as SYS_TEST, are initiated. The system test procedure are summarized as SYS_TEST=Test setup→(Test delivery→Sequential test setup→Test execution)* where * denotes any required number of repetitions. In the beginning of the test, test control registers are programmed prior to delivery of test data. There are two types of test control registers in the TDN; non-volatile and volatile. The non-volatile control registers are programmed in the setup and their contents can remain unchanged throughout the test. Example of the non-volatile control register are the test configuration register. Content of the volatile control registers are changed during test delivery and execution. They are reset before the test delivery. Test delivery are initiated after the test setup and prior to test execution. The sequential test using external clock or the sequential test setup are introduced between test delivery and test execution. The sequential test setup can forward system states using an external clock until the required state are reached for at-speed test execution. At the end of test execution, the volatile registers are reset so that the next test delivery are resumed.

Test delivery of the TDN are summarized as transmission of the tagged test patterns at its input according to the test distribution protocol and observation of the test responses at its output for test decision. Each test pattern can consist of test data packets followed by the end of test data (EOTD) that specifies the test pattern boundary. The EOTD is not necessarily a test data packet. It are a sequence of signal transitions of the DE embedded in the test protocol or control sequence. The EOTD, for example, are a rising transition followed by a falling. The test pattern structures of the FD and the GD are shown in the table below. Each test packet is denoted as the tdPkt in Table 6.

TABLE 6 FD tdPkt₀ tdPkt₁ tdPkt2 . . . tdPkt_(L−1) EOTD^(N) GD (tdPkt₀; EOTD) (tdPkt₁; EOTD) . . . (tdPkt_(N−1); EOTD) For the FD, the test pattern can consist of the L number of test packets appended by the N number of the EOTDs. The L and N denote the maximum scan chain length of the cores and a number of the enabled TDEs, respectively. The N number of EOTDs is to acknowledge the end of test delivery to all N number of TDEs. All test packets can carry the N number of test data. The tdPkt_(j) contains the test data to be shifted into the scan chains of all enabled cores during j-th scan shift. In the GD, however, there are N number of test packets and each test packet is followed by the EOTD. Each test packet contains test data for entire scan chains in each core. Size of each test packet can depend on the maximum scan chain length of each core and are different from test packet to test packet. Based on the distribution method chosen, the TDE can extract the required test data from each test packets and load them to the scan chains that it is servicing. Upon detection of the EOTD, the TDE can refrain from test data delivery and wait for test execution or engage in the sequential test setup if specified.

The test data packet can comprise collection of the test data paired with the DE value to indicate a valid input test data. The k-th test data and its DE value are denoted as td_(k) and de_(k), respectively. The k=N for the FD and k=L_(j) for the j-th core in the GD for all j. The test packet are prefixed with a filler data and its DE value which is zero. The test packet boundary are marked with a pair (0, filler).

tdPkt (0, filler) (de₀, td₀) (de₁, td₁) . . . (de_(k−1), td_(k−1))

Each test data in the test packet should be consumed only once by the designated TDE for scan load/unload of the corresponding core. Amount of the test data to be consumed by each TDE are specified in the test packet of the chosen distribution method. The test packet of the FD contains the N number of test data which are equally distributed to the same number of the TDEs. Thus, each test data are consumed by each core. The test packet of the GD, however, can contain the test data to load entire scan chains of the corresponding core. After consumption of the test data in the test packet, the TDE can refrain from consuming extra test data and it waits for the test execution.

To synchronize the test data consumption or to ensure the test data to be consumed as intended, a test data consumption indicator, denoted as TDC, for each TDE are derived from a stream of the DE values. The TDC for the FD and the GD are different due to a different test data distribution criteria. The TDC, for example, are every rising transition of the DE for the FD whereas it are the DE values between a rising and falling transitions of DE for the GD. The TDC can indicate that the test data is ready to be consumed by the corresponding core. The TDE that can detect the TDC can consume the test data. When the TDC is detected at the TDE, the test data are loaded into the scan chains from the TDI and unload the scan output to the TDO with the DE_(O)=0. A number of valid test data in the test packet, or size of the test packet, can decrease as the input test data is consumed. The consumed input is replaced by the test result output. The TDC can automatically aligned to the next available test data by the DE_(O) reset. After the final TDE, all of the valid test data are consumed and the test packet size are zero.

Test delivery are performed according to the test data distribution protocol. The test data distribution in each TDE are summarized as if (BP∨¬TDC∨EOTD) then (TDO<=TDI∥DE_(O)<=DE_(I)); if (¬BP∧TDC∧¬EOTD) then (SI<=TDI∥TDO<=SO∥DE_(O)<=0); where the symbols <= and ∥ denote a synchronous assignment and a parallel execution, respectively. The assignment is synchronized to the clock under consideration in the synchronous assignment. In the parallel operation A∥B, execution of the A and the B is simultaneous within the clock period so that any out-of-order test execution of them can produce the same result. If the BP=1, the test data are simply bypassed from the TDI to TDO without alteration. Otherwise, the TDE can consume the test data when the TDC=1. When the scan load and unload are completed, the DE_(O) are reset to align the TDC to the next available test data.

Encoding schemes of the TDC and the EOTD for the dedicated scan IO and the half-duplex are shown in FIG. 26 and FIG. 27, respectively. In the figures, the N and L_(j) denote the number of enabled TDEs and the maximum scan chain length of the j-th core, respectively. As discussed earlier, the TDC are asserted between the rising and falling transitions of the DE for the GD and at every rising transition of the DE for the FD. The EOTD are encoded as a rising transition followed by a falling transition of the DE or a sequence of 010. Encoding of the EOTD are the same for all distribution methods and scan IO configurations. The rising transition and the logic 1 in the EODT sequence are utilized for the last data in the test delivery for the FD and the GD, respectively. The EOTD are provided to each of the enabled TDE at the end of each test pattern.

In the half-duplex scan IO configuration shown in FIG. 26, the DE signal can function as a control signal for IO multiplexing. If the DE=1, for example, the IO are configured as a primary input (PI) and otherwise, a primary output (PO). The period of IO multiplexing are defined as 2N, where the N are the total number of TDEs in the TDN. The half-duplex IO multiplexing can constrain the number of input test data to be sent within the period of IO multiplexing. Test throughput are defined by a number of scan inputs that are delivered to the core in the period of IO multiplexing. Maximum test throughput are a half of the IO multiplexing period which is N. The maximum are reached when a number of enabled TDEs can divides the N. For example, if the N=10 and the number of enabled TDEs are 2 and 3, the maximum number of input test data are 10 and 9, respectively. The corresponding DE sequences are (0011001100→1100110011)* and (0001110000→1110001110)*, respectively. For the purpose of discussion, all of the TDEs are assumed to be enabled for test in the half-duplex scan IO configuration. The half-duplex scan IO can also incorporate MISR to compact scan outputs to increase the test throughput up to 2N for test cost advantage. The MISR based test method is discussed later.

The test sequencer enable (TSE) are encoded as the logic 0 of the DE preceded by the EOTD. If the DE=0 after the EOTD is detected in the TDE, the corresponding TDE asserts the TSE to enable the test execution. The core test are initiated according to the test sequence specification.

The sequential test using external clock (EST), if the EST=1, are initiated after test data delivery and prior to test execution. Beginning of the EST are encoded as two consecutive logic 1s of the DE preceded by the EOTD. The EOTD are delivered to the all TDEs before the sequential test. If the begin condition of the EST is detected in the TDE, the sequential test are performed until the end of sequential test (EOEST) sequence is received from tester. The sequence of the EOEST are the same as that of the EOTD. Upon detection of the EOEST sequence, the TDE can generate the EOEST to enable the EST of the next core. The control sequence of the EST are the same as the GD. The sequential test are performed when the DE=1 and terminated when the rising transition of the DE is followed by the falling transition.

The structure of the TDE is presented in FIG. 28 and FIG. 29A-C. Each test data are tagged with the DE to indicate valid input test data. Incoming test data are captured into the TDO register. Similarly, the corresponding DE are pipelined into the DE_(I) and the DE_(O). The valid test data are loaded into the TDI register if a rising transition of the DE are detected at input and output of the DE_(I) storage cell and indicated by UP signal. The TDI register can serve as a lock-up register for timing closure and provide a high-to-low speed test interface in the FD. Once the test data is loaded into the TDI register, it can remain unchanged until the next available test data is detected. Scan load/unload can occur between two available test data detections. The DE_(I) and the TDI register can store input data at a falling edge of the TCK. Similarly, the DE_(O) and the TDO register can store output data at a rising edge. The falling edge triggered storage cell and register are denoted as a bubble at the lower left corner of the storage cell or register. If the BP=1, as shown in FIG. 28, the tagged test data are bypassed from the TDI register to the TDO without alteration. Otherwise, test data captured into the TDI are loaded into the scan chains through the scan-in (SI) and test response are unloaded to the TDO register through scan-out (SO). When the scan output is unloaded, the DE_(O) are reset (to logic 0) so that the test response will not be reused by any other TDEs. The SO are provided from the TL scan chains or the core, depending on ON signal. If a core test were turned off, or the ON=0, the SCK are shut off and only the scan clock SCK_(TL) are enabled to provide the SO to the TDO register. Otherwise, all scan clocks are enabled and the SO are provided by core scan chains. When the BP=1, the ON can also be used to control the peak power during test delivery. By turning on set of any bypassed cores, the peak power are worsened during test delivery.

The scan clocks are enabled when test data is available. Availability of test data during test delivery are indicted by the TDC. The TDC detection circuitry shown in FIG. 28. The rising transition of the DE for the FD are detected by the current value of DE and the delayed one, as denoted as DE_(d). The TDCs can cause scan load/unload during test delivery. The scan clocks are enabled and the output select (OS) are asserted for the scan output. The OS are determined as OS=TDC∧¬(BP∨EOTD)  Eq. 24

The EOTD and the TSE generator, as shown in FIG. 29A, can detect the EOTD and TSE enabling conditions. When they are detected, the EOTD generator can lock the detection, denoted as DET, and stay asserted until the end of test execution or the doneD=1. The local SE are provided from logical negation of the EOTD, or the SE=¬EOTD. After the test delivery or when the EOTD=1, the DE are used for other purposes such as detection of the TSE and the EST. All of the storage cells D₂ to D₄ are volatile storage cells. They are reset at the end of test execution indicated by the doneD=1. The doneD signal is the done signal delayed by one TCK clock cycle. The inserted delay in the done signal can allow the output of the TL to be captured into the translation vector register (TVR), as discussed in FIGS. 3A and 3B, before completion of the test execution indicated by the End=1.

The TSE are asserted when the EOTD=1 and the DE=0. When the TSE=1, the TDE are enabled for the test execution. The TSE can function as a gating signal for the start signal that can trigger test execution of core. If asserted, the start signal are caused by its inputs; Begin and ¬Begin.

The scan clock generators are shown in FIG. 29C. The local scan clocks for the TL and the core, denoted as the SCK_(TL) and the SCK, are derived from the TCK and the DE. Both scan clocks are active during the test delivery. They are shut off at the end of the test delivery and during the TDN test, when the TDN_tm=1. The SCK are directly generated from the DE for the FD. Unlike the SCK, the SCK_(TL) are active to capture output of the source, when the sink is disabled for the test.

The SCK_(TL) are enabled to capture output of the TL after the done and before the End. The TL output capture signal, denoted as a tloc, are reset if the done=0 and otherwise, set to logic 1 for a TCK clock period. The negative edge storage cell can store ¬done and enable one TCK clock pulse at a rising transition of the done signal. Employment of the negative-edge clocked storage cell can aid to preserve a duty cycle of the clock.

The SCK for the core scan chains are derived from the TCK or DE. As shown in FIG. 29B, the SCK are provided from the TCK based on the condition specified by the clock gating logic. The SCK are disabled if the ON=0, the TDN_tm=1 or the TSE=1. Otherwise, usage of the SCK are determined by the EOTD. During test delivery, or the EOTD=0, the SCK can provide a scan clock to the core under test. The TDC can provide a clock enable control signal for the TCK. If the TDC=1, the SCK=TCK and otherwise the SCK=0. After test delivery, or the EOTD=1, the SCK can provide the test clock for the EST. The EST are performed one core at a time. Order of the EST execution in the TDN are the order that the cores receive the test inputs in the TDN. The EST test are initiated after the previously scheduled EST test is completed. After completion of the test, the EOEST are asserted. The EST test are enabled if the following conditions are satisfied

1. TDN_tm=0, ON=1 and TSE=0

2. EOEST_(in)=1

3. Detection of beginning of EST indicated by (DE∧DE_(d)∧EOTD)=1

4. EOEST=0

Note that the BP does not affect the scheduled EST. The EST test in the bypassed TDE are controlled to affect power during the EST test of other cores.

For the FD, duty cycle of the SCK discussed in FIG. 29B are unbalanced. Since there can a single TCK clock pulse in each test data packet of size N, there are logic 1 state for one TCK clock period followed by logic 0 state for N−1 clock periods. If the TCK clock were high-speed clock, it can impose unnecessary timing constraints to scan shift circuitry including the SCK. The duty cycle are improved by employment of modulo counter (CNT) as shown in FIG. 29C. The CNT are reset to zero initially. In the FD, the CNT can check the go signal only in the reset state. If it is asserted, the CNT can produce count sequence of 0→1→2→ . . . →┌N/2┐−1→┌N/2┐→0→ . . . →0 before the go signal are checked again, where ┌x┐ denotes a ceiling function which rounds up to the smallest integer greater than x. If the go=0 during the reset state, the CNT can wait until the go=1. The clock are obtained by applying OR operation to output of the CNT. If, for example, N=6, then the CNT output are 0→1→2→3→0→0 and the ORed output are 0→1→1→1→0→0. Since the number of ones and zeros in the SCK are the same, the duty cycle are balanced.

A multiple input signature register (MISR) are incorporated into the TDE, as shown in FIG. 30. MISR can compact the scan chain outputs or the SO to reduce test data volume. MISR is a linear feedback shift register (LFSR) with multiple inputs. A size of MISR are determined by the number of storage cells in the LF SR and are S×DW, where the S≥1. MISR can compacts content of the scan chains and produce the final signature for test decision. Hence, MISR can significantly reduce the test data volume that needs to be processed externally.

MISR based test are beneficial, especially in the half-duplex scan chain configuration. The TDN can engage in input for duration of entire test pattern followed by output for the signature at the end of test delivery.

MISR are configured by the misr_cfg control signal. If the mist_cfg=1, MISR are enabled with the predefined polynomial. Otherwise, MISR are disabled and behave as a S-stage shift register. Alternatively, MISR are simply bypassed. The scheme is described with the S-stage shift register. Since function of MISR is to compact the scan chain outputs, it are enabled by the OS. If the OS=1, MISR can advance its state. Otherwise, it can maintain its current state.

Incorporation of MISR into the test are determined by the MISR test mode denoted as the misr_tm. If the misr_tm=0, the TDE behaves as the one discussed in FIG. 28. MISR are configured into a shift register and the scan chain length are increased by S. Otherwise, the scan output (SO) are compacted by MISR without being transferred to the TDO register. During compaction, however, the test data delivered to the TDI can also be bypassed to the TDO register. When the test data is compacted, the OS=1 and the DE_(O)=0 so that the bypassed test data is not consumed by any other TDEs. Note that DE and TDC are not explicitly shown in FIG. 30 but they are assumed to be the same as one in FIG. 28. At the end of each test delivery, MISR signature are observed at the output of the TDN for test decision.

When the misr_tm=1, MISR output select (MOS) are determined by misr_cfgb which is complement of misr_cfg. When misr_cfg=0, or equivalently misr_cfgb=1, MISR can function as a shift register and shift out the signature according to the TDN test protocol. Each test pattern are prefixed with the initialization vectors for MISR. To shift out MISR signature, the MOS must be asserted for S number of scan output data. The requirement of the MOS are achieved by the test controller shown in FIG. 30. The test controller can provide misr_cfg and the EOTD′ which is the EOTD delayed by the S number of test data. The S-bit shift register are enabled if the OS=1. Otherwise, the shift register remains in the current state. The S-bit shift register are filled with logic 1 during the test delivery. The number of ones stored in the shift register can delay the EOTD by the S number of scan shifts and allow loading/unloading of MISR signature. After loading/unloading of MISR signature, the misr_cfgb=0 and MISR are enabled again to compact the SO. This process are repeated until all test patterns are tested.

Computational aspect of MISR signature can conform the compositional ATPC (automatic test pattern composition) approach taken by the scheme. MISR signature are determined from the polynomial employed in MISR and the test pattern applied to the core under test including the TL. Calculation of MISR signature does not require design netlist. MISR signature are calculated from the scan outputs of test patterns. Compaction of scan outputs using MISR can significantly simplify the IO multiplexing in the half-duplex scan IO configuration. Application of MISR to the half-duplex scan IO configuration can allow efficient integration of various advanced DFT techniques to reduce test cost measured by test time and test data volume.

The novel compositional ATPG and accompanying DFT method are presented. The scheme can shorten time-to-market window, reduce test and test development costs and increase engineering efficiency. The scheme can reuse sb-chip or core level test patterns for the ATPG of system level test patterns without requiring the system design netlist and, hence, are suitable for test development of large systems. The accompanying DFT method provides a modular test platform that can achieve 100% test pattern utilization, provide a plug-in interface for unified test integration of IP cores and enable efficient management of power and test resource by localizing test operations within each sub-design or the IP cores. If the scheme are applied to test applications, it can provide time-to-market advantage and test cost savings. 

I claim:
 1. A modular test method for composition of test patterns for integrated circuits comprising: the integrated circuit being a target system that has subsystems; disabling an environment constraint test instrument (ECTI); generating disabled zero-biased test patterns according to a test protocol; generating a environment constraint environment (ECE) test using the ECTI and an output encoding function such that for a first condition, when an environment constraint test enable signal can be set to logic value 1 by replacing values of inputs specified in the zero-biased test patterns, generating an info file for (test pattern) input value replacement, and for a second condition, when the environment constraint test enable signal cannot be set to logic value 1 by replacing values in the zero-biased test patterns, enabling the ECTI, and generating enabled zero-biased test patterns according to the test protocol; forming target test patterns using the zero-biased test patterns and the ECE test; and generating an interconnection scheme according to an output translation layer.
 2. A modular test method, as in claim 1, wherein generating disabled zero-biased test patterns is a predetermined pattern.
 3. A modular test method, as in claim 1, when the first condition is met, the test protocol comprising: initializing the ECE test by providing an input vector v′ according to a given test specification of the circuit under test; delivering test data to scan-able flip-flops, wherein the scan-able flip-flops include primary inputs, primary outputs and a translation vector register; updating the translation vector register to recover a translation vector of arbitrary input g(x); executing the test; updating to recover the input to the translation vector register; and repeating the steps of delivering, uploading, and executing until all test patterns are generated.
 4. A modular test method, as in claim 3, delivering test data comprising: loading test input to the scan-able flip-flops including translation vector registers that correspond to the circuit under test; and measuring test output of the scan-able flip-flops including translation vector registers.
 5. A modular test method, as in claim 3, executing the test comprising: forcing a functional primary input to be zero; measuring the corresponding functional output; launching the delivered test stimulus; and capturing the test response into scan-able flip flops.
 6. A modular test method as in claim 3, the test output encoding further including testing of environment constraints and interconnections.
 7. A modular test method, as in claim 1, wherein composition of a given set of zero-biased test patterns with respect to a corresponding IO connectivity of subsystems, calculating a test sequence based on the connectivity of subsystems to attain environment-independent test patterns of the target system.
 8. A modular test method, as in claim 7, further comprising replacing functional inputs values in test patterns of each subsystem with its environment constraints to attain environment-incorporated test patterns of the target system. 